ICCV2019 oral papers

1. Exploring Randomly Wired Neural Networks for Image Recognition

   [Paper] [Video]

2. Progressive Differentiable Architecture Search: Bridging the Depth Gap Between Search and Evaluation

   [Paper] [Video]

3. Multinomial Distribution Learning for Effective Neural Architecture Search

   [Paper] [Video]

4. Searching for MobileNetV3

   [Paper] [Video]

5. Data-Free Quantization Through Weight Equalization and Bias Correction

   [Paper] [Video]

6. A Camera That CNNs: Towards Embedded Neural Networks on Pixel Processor Arrays

   [Paper] [Video]

7. Knowledge Distillation via Route Constrained Optimization

   [Paper] [Video]

8. Distillation-Based Training for Multi-Exit Architectures

   [Paper] [Video]

9. Similarity-Preserving Knowledge Distillation

   [Paper] [Video]

10. Many Task Learning With Task Routing

    [Paper] [Video]

11. Stochastic Filter Groups for Multi-Task CNNs: Learning Specialist and Generalist Convolution Kernels

    [Paper] [Video]

12. Transferability and Hardness of Supervised Classification Tasks

    [Paper] [Video]

13. Moment Matching for Multi-Source Domain Adaptation

    [Paper] [Video]

14. Unsupervised Domain Adaptation via Regularized Conditional Alignment

    [Paper] [Video]

15. Larger Norm More Transferable: An Adaptive Feature Norm Approach for Unsupervised Domain Adaptation

    [Paper] [Video]

16. UM-Adapt: Unsupervised Multi-Task Adaptation Using Adversarial Cross-Task Distillation

    [Paper] [Video]

17. Episodic Training for Domain Generalization

    [Paper] [Video]

18. Domain Adaptation for Structured Output via Discriminative Patch Representations

    [Paper] [Video]

19. Semi-Supervised Learning by Augmented Distribution Alignment

    [Paper] [Video]

20. S4L: Self-Supervised Semi-Supervised Learning

    [Paper] [Video]

21. Privacy Preserving Image Queries for Camera Localization

    [Paper] [Video]

22. Calibration Wizard: A Guidance System for Camera Calibration Based on Modelling Geometric and Corner Uncertainty

    [Paper] [Video]

23. Gated2Depth: Real-Time Dense Lidar From Gated Images

    [Paper] [Video]

24. X-Section: Cross-Section Prediction for Enhanced RGB-D Fusion

    [Paper] [Video]

25. Learning an Event Sequence Embedding for Dense Event-Based Deep Stereo

    [Paper] [Video]

26. Point-Based Multi-View Stereo Network

    [Paper] [Video]

27. Discrete Laplace Operator Estimation for Dynamic 3D Reconstruction

    [Paper] [Video]

28. Deep Non-Rigid Structure From Motion

    [Paper] [Video]

29. Equivariant Multi-View Networks

    [Paper] [Video]

30. Interpolated Convolutional Networks for 3D Point Cloud Understanding

    [Paper] [Video]

31. Revisiting Point Cloud Classification: A New Benchmark Dataset and Classification Model on Real-World Data

    [Paper] [Video]

32. PointCloud Saliency Maps

    [Paper] [Video]

33. ShellNet: Efficient Point Cloud Convolutional Neural Networks Using Concentric Shells Statistics

    [Paper] [Video]

34. Unsupervised Deep Learning for Structured Shape Matching

    [Paper] [Video]

35. Linearly Converging Quasi Branch and Bound Algorithms for Global Rigid Registration

    [Paper] [Video]

36. Consensus Maximization Tree Search Revisited

    [Paper] [Video]

37. Quasi-Globally Optimal and Efficient Vanishing Point Estimation in Manhattan World

    [Paper] [Video]

38. An Efficient Solution to the Homography-Based Relative Pose Problem With a Common Reference Direction

    [Paper] [Video]

39. A Quaternion-Based Certifiably Optimal Solution to the Wahba Problem With Outliers

    [Paper] [Video]

40. PLMP - Point-Line Minimal Problems in Complete Multi-View Visibility

    [Paper] [Video]

41. Sampling-Free Epistemic Uncertainty Estimation Using Approximated Variance Propagation

    [Paper] [Video]

42. Universal Adversarial Perturbation via Prior Driven Uncertainty Approximation

    [Paper] [Video]

43. Understanding Deep Networks via Extremal Perturbations and Smooth Masks

    [Paper] [Video]

44. Unsupervised Pre-Training of Image Features on Non-Curated Data

    [Paper] [Video]

45. Learning Local Descriptors With a CDF-Based Dynamic Soft Margin

    [Paper] [Video]

46. Bayes-Factor-VAE: Hierarchical Bayesian Deep Auto-Encoder Models for Factor Disentanglement

    [Paper] [Video]

47. Linearized Multi-Sampling for Differentiable Image Transformation

    [Paper] [Video]

48. AdaTransform: Adaptive Data Transformation

    [Paper] [Video]

49. CARAFE: Content-Aware ReAssembly of FEatures

    [Paper] [Video]

50. AFD-Net: Aggregated Feature Difference Learning for Cross-Spectral Image Patch Matching

    [Paper] [Video]

51. Deep Joint-Semantics Reconstructing Hashing for Large-Scale Unsupervised Cross-Modal Retrieval

    [Paper] [Video]

52. Unsupervised Neural Quantization for Compressed-Domain Similarity Search

    [Paper] [Video]

53. Siamese Networks: The Tale of Two Manifolds

    [Paper] [Video]

54. Learning Combinatorial Embedding Networks for Deep Graph Matching

    [Paper] [Video]

55. Fashion Retrieval via Graph Reasoning Networks on a Similarity Pyramid

    [Paper] [Video]

56. Wavelet Domain Style Transfer for an Effective Perception-Distortion Tradeoff in Single Image Super-Resolution

    [Paper] [Video]

57. Toward Real-World Single Image Super-Resolution: A New Benchmark and a New Model

    [Paper] [Video]

58. RankSRGAN: Generative Adversarial Networks With Ranker for Image Super-Resolution

    [Paper] [Video]

59. Progressive Fusion Video Super-Resolution Network via Exploiting Non-Local Spatio-Temporal Correlations

    [Paper] [Video]

60. Deep SR-ITM: Joint Learning of Super-Resolution and Inverse Tone-Mapping for 4K UHD HDR Applications

    [Paper] [Video]

61. Dynamic PET Image Reconstruction Using Nonnegative Matrix Factorization Incorporated With Deep Image Prior

    [Paper] [Video]

62. DSIC: Deep Stereo Image Compression

    [Paper] [Video]

63. Variable Rate Deep Image Compression With a Conditional Autoencoder

    [Paper] [Video]

64. Real Image Denoising With Feature Attention

    [Paper] [Video]

65. Noise Flow: Noise Modeling With Conditional Normalizing Flows

    [Paper] [Video]

66. Bottleneck Potentials in Markov Random Fields

    [Paper] [Video]

67. Seeing Motion in the Dark

    [Paper] [Video]

68. SENSE: A Shared Encoder Network for Scene-Flow Estimation

    [Paper] [Video]

69. Image2StyleGAN: How to Embed Images Into the StyleGAN Latent Space?

    [Paper] [Video]

70. Controllable Artistic Text Style Transfer via Shape-Matching GAN

    [Paper] [Video]

71. Understanding Generalized Whitening and Coloring Transform for Universal Style Transfer

    [Paper] [Video]

72. Learning Implicit Generative Models by Matching Perceptual Features

    [Paper] [Video]

73. Free-Form Image Inpainting With Gated Convolution

    [Paper] [Video]

74. FiNet: Compatible and Diverse Fashion Image Inpainting

    [Paper] [Video]

75. InGAN: Capturing and Retargeting the “DNA” of a Natural Image

76. Seeing What a GAN Cannot Generate

    [Paper] [Video]

77. COCO-GAN: Generation by Parts via Conditional Coordinating

    [Paper] [Video]

78. Neural Turtle Graphics for Modeling City Road Layouts

    [Paper] [Video]

79. Texture Fields: Learning Texture Representations in Function Space

    [Paper] [Video]

80. PointFlow: 3D Point Cloud Generation With Continuous Normalizing Flows

    [Paper] [Video]

81. Meta-Sim: Learning to Generate Synthetic Datasets

    [Paper] [Video]

82. Specifying Object Attributes and Relations in Interactive Scene Generation

    [Paper] [Video]

83. SinGAN: Learning a Generative Model From a Single Natural Image

    [Paper] [Video]

84. VaTeX: A Large-Scale, High-Quality Multilingual Dataset for Video-and-Language Research

    [Paper] [Video]

85. A Graph-Based Framework to Bridge Movies and Synopses

    [Paper] [Video]

86. From Strings to Things: Knowledge-Enabled VQA Model That Can Read and Reason

    [Paper] [Video]

87. Counterfactual Critic Multi-Agent Training for Scene Graph Generation

    [Paper] [Video]

88. Robust Change Captioning

    [Paper] [Video]

89. Attention on Attention for Image Captioning

    [Paper] [Video]

90. Dynamic Graph Attention for Referring Expression Comprehension

    [Paper] [Video]

91. Visual Semantic Reasoning for Image-Text Matching

    [Paper] [Video]

92. Phrase Localization Without Paired Training Examples

    [Paper] [Video]

93. Learning to Assemble Neural Module Tree Networks for Visual Grounding

    [Paper] [Video]

94. A Fast and Accurate One-Stage Approach to Visual Grounding

    [Paper] [Video]

95. Zero-Shot Grounding of Objects From Natural Language Queries

    [Paper] [Video]

96. Towards Unconstrained End-to-End Text Spotting

    [Paper] [Video]

97. What Is Wrong With Scene Text Recognition Model Comparisons? Dataset and Model Analysis

    [Paper] [Video]

98. Variational Adversarial Active Learning

    [Paper] [Video]

99. Confidence Regularized Self-Training

    [Paper] [Video]

100. Anchor Loss: Modulating Loss Scale Based on Prediction Difficulty

[[Paper](http://openaccess.thecvf.com/content_ICCV_2019/html/Ryou_Anchor_Loss_Modulating_Loss_Scale_Based_on_Prediction_Difficulty_ICCV_2019_paper.html)]  [[Video](https://conftube.com/video/xzygVl7ZncQ?tocitem=24)]

101. Local Aggregation for Unsupervised Learning of Visual Embeddings

[[Paper](http://openaccess.thecvf.com/content_ICCV_2019/html/Zhuang_Local_Aggregation_for_Unsupervised_Learning_of_Visual_Embeddings_ICCV_2019_paper.html)]  [[Video](https://conftube.com/video/xzygVl7ZncQ?tocitem=36)]

102. PR Product: A Substitute for Inner Product in Neural Networks

[[Paper](http://openaccess.thecvf.com/content_ICCV_2019/html/Wang_PR_Product_A_Substitute_for_Inner_Product_in_Neural_Networks_ICCV_2019_paper.html)]  [[Video](https://conftube.com/video/xzygVl7ZncQ?tocitem=46)]

103. CutMix: Regularization Strategy to Train Strong Classifiers With Localizable Features

[[Paper](http://openaccess.thecvf.com/content_ICCV_2019/html/Yun_CutMix_Regularization_Strategy_to_Train_Strong_Classifiers_With_Localizable_Features_ICCV_2019_paper.html)]  [[Video](https://conftube.com/video/xzygVl7ZncQ?tocitem=54)]

104. Towards Interpretable Object Detection by Unfolding Latent Structures

[[Paper](http://openaccess.thecvf.com/content_ICCV_2019/html/Wu_Towards_Interpretable_Object_Detection_by_Unfolding_Latent_Structures_ICCV_2019_paper.html)]  [[Video](https://conftube.com/video/xzygVl7ZncQ?tocitem=62)]

105. Scaling Object Detection by Transferring Classification Weights

[[Paper](http://openaccess.thecvf.com/content_ICCV_2019/html/Kuen_Scaling_Object_Detection_by_Transferring_Classification_Weights_ICCV_2019_paper.html)]  [[Video](https://conftube.com/video/xzygVl7ZncQ?tocitem=68)]

106. Scale-Aware Trident Networks for Object Detection

[[Paper](http://openaccess.thecvf.com/content_ICCV_2019/html/Li_Scale-Aware_Trident_Networks_for_Object_Detection_ICCV_2019_paper.html)]  [[Video](https://conftube.com/video/xzygVl7ZncQ?tocitem=77)]

107. Object-Aware Instance Labeling for Weakly Supervised Object Detection

[[Paper](http://openaccess.thecvf.com/content_ICCV_2019/html/Kosugi_Object-Aware_Instance_Labeling_for_Weakly_Supervised_Object_Detection_ICCV_2019_paper.html)]  [[Video](https://conftube.com/video/xzygVl7ZncQ?tocitem=89)]

108. Generative Modeling for Small-Data Object Detection

[[Paper](http://openaccess.thecvf.com/content_ICCV_2019/html/Liu_Generative_Modeling_for_Small-Data_Object_Detection_ICCV_2019_paper.html)]  [[Video](https://conftube.com/video/xzygVl7ZncQ?tocitem=99)]

109. Transductive Learning for Zero-Shot Object Detection

[[Paper](http://openaccess.thecvf.com/content_ICCV_2019/html/Rahman_Transductive_Learning_for_Zero-Shot_Object_Detection_ICCV_2019_paper.html)]  [[Video](https://conftube.com/video/xzygVl7ZncQ?tocitem=110)]

110. Self-Training and Adversarial Background Regularization for Unsupervised Domain Adaptive One-Stage Object Detection

[[Paper](http://openaccess.thecvf.com/content_ICCV_2019/html/Kim_Self-Training_and_Adversarial_Background_Regularization_for_Unsupervised_Domain_Adaptive_One-Stage_ICCV_2019_paper.html)]  [[Video](https://conftube.com/video/xzygVl7ZncQ?tocitem=118)]

111. Memory-Based Neighbourhood Embedding for Visual Recognition

[[Paper](http://openaccess.thecvf.com/content_ICCV_2019/html/Li_Memory-Based_Neighbourhood_Embedding_for_Visual_Recognition_ICCV_2019_paper.html)]  [[Video](https://conftube.com/video/xzygVl7ZncQ?tocitem=124)]

112. Self-Similarity Grouping: A Simple Unsupervised Cross Domain Adaptation Approach for Person Re-Identification

[[Paper](http://openaccess.thecvf.com/content_ICCV_2019/html/Fu_Self-Similarity_Grouping_A_Simple_Unsupervised_Cross_Domain_Adaptation_Approach_for_ICCV_2019_paper.html)]  [[Video](https://conftube.com/video/xzygVl7ZncQ?tocitem=132)]

113. Deep Reinforcement Active Learning for Human-in-the-Loop Person Re-Identification

[[Paper](http://openaccess.thecvf.com/content_ICCV_2019/html/Liu_Deep_Reinforcement_Active_Learning_for_Human-in-the-Loop_Person_Re-Identification_ICCV_2019_paper.html)]  [[Video](https://conftube.com/video/xzygVl7ZncQ?tocitem=140)]

114. A Dual-Path Model With Adaptive Attention for Vehicle Re-Identification

[[Paper](http://openaccess.thecvf.com/content_ICCV_2019/html/Khorramshahi_A_Dual-Path_Model_With_Adaptive_Attention_for_Vehicle_Re-Identification_ICCV_2019_paper.html)]  [[Video](https://conftube.com/video/xzygVl7ZncQ?tocitem=149)]

115. Bayesian Loss for Crowd Count Estimation With Point Supervision

[[Paper](http://openaccess.thecvf.com/content_ICCV_2019/html/Ma_Bayesian_Loss_for_Crowd_Count_Estimation_With_Point_Supervision_ICCV_2019_paper.html)]  [[Video](https://conftube.com/video/xzygVl7ZncQ?tocitem=157)]

116. Learning Spatial Awareness to Improve Crowd Counting

[[Paper](http://openaccess.thecvf.com/content_ICCV_2019/html/Cheng_Learning_Spatial_Awareness_to_Improve_Crowd_Counting_ICCV_2019_paper.html)]  [[Video](https://conftube.com/video/xzygVl7ZncQ?tocitem=167)]

117. GradNet: Gradient-Guided Network for Visual Object Tracking

[[Paper](http://openaccess.thecvf.com/content_ICCV_2019/html/Li_GradNet_Gradient-Guided_Network_for_Visual_Object_Tracking_ICCV_2019_paper.html)]  [[Video](https://conftube.com/video/8oUPyhwzIDo?tocitem=2)]

118. FAMNet: Joint Learning of Feature, Affinity and Multi-Dimensional Assignment for Online Multiple Object Tracking

[[Paper](http://openaccess.thecvf.com/content_ICCV_2019/html/Chu_FAMNet_Joint_Learning_of_Feature_Affinity_and_Multi-Dimensional_Assignment_for_ICCV_2019_paper.html)]  [[Video](https://conftube.com/video/8oUPyhwzIDo?tocitem=9)]

119. Learning Discriminative Model Prediction for Tracking

[[Paper](http://openaccess.thecvf.com/content_ICCV_2019/html/Bhat_Learning_Discriminative_Model_Prediction_for_Tracking_ICCV_2019_paper.html)]  [[Video](https://conftube.com/video/8oUPyhwzIDo?tocitem=18)]

120. DynamoNet: Dynamic Action and Motion Network

[[Paper](http://openaccess.thecvf.com/content_ICCV_2019/html/Diba_DynamoNet_Dynamic_Action_and_Motion_Network_ICCV_2019_paper.html)]  [[Video](https://conftube.com/video/8oUPyhwzIDo?tocitem=30)]

121. SlowFast Networks for Video Recognition

[[Paper](http://openaccess.thecvf.com/content_ICCV_2019/html/Feichtenhofer_SlowFast_Networks_for_Video_Recognition_ICCV_2019_paper.html)]  [[Video](https://conftube.com/video/8oUPyhwzIDo?tocitem=37)]

122. Generative Multi-View Human Action Recognition

[[Paper](http://openaccess.thecvf.com/content_ICCV_2019/html/Wang_Generative_Multi-View_Human_Action_Recognition_ICCV_2019_paper.html)]  [[Video](https://conftube.com/video/8oUPyhwzIDo?tocitem=46)]

123. Multi-Agent Reinforcement Learning Based Frame Sampling for Effective Untrimmed Video Recognition

[[Paper](http://openaccess.thecvf.com/content_ICCV_2019/html/Wu_Multi-Agent_Reinforcement_Learning_Based_Frame_Sampling_for_Effective_Untrimmed_Video_ICCV_2019_paper.html)]  [[Video](https://conftube.com/video/8oUPyhwzIDo?tocitem=54)]

124. SCSampler: Sampling Salient Clips From Video for Efficient Action Recognition

[[Paper](http://openaccess.thecvf.com/content_ICCV_2019/html/Korbar_SCSampler_Sampling_Salient_Clips_From_Video_for_Efficient_Action_Recognition_ICCV_2019_paper.html)]  [[Video](https://conftube.com/video/8oUPyhwzIDo?tocitem=60)]

125. Weakly Supervised Energy-Based Learning for Action Segmentation

[[Paper](http://openaccess.thecvf.com/content_ICCV_2019/html/Li_Weakly_Supervised_Energy-Based_Learning_for_Action_Segmentation_ICCV_2019_paper.html)]  [[Video](https://conftube.com/video/8oUPyhwzIDo?tocitem=70)]

126. What Would You Expect? Anticipating Egocentric Actions With Rolling-Unrolling LSTMs and Modality Attention

[[Paper](http://openaccess.thecvf.com/content_ICCV_2019/html/Furnari_What_Would_You_Expect_Anticipating_Egocentric_Actions_With_Rolling-Unrolling_LSTMs_ICCV_2019_paper.html)]  [[Video](https://conftube.com/video/8oUPyhwzIDo?tocitem=80)]

127. PIE: A Large-Scale Dataset and Models for Pedestrian Intention Estimation and Trajectory Prediction

[[Paper](http://openaccess.thecvf.com/content_ICCV_2019/html/Rasouli_PIE_A_Large-Scale_Dataset_and_Models_for_Pedestrian_Intention_Estimation_ICCV_2019_paper.html)]  [[Video](https://conftube.com/video/8oUPyhwzIDo?tocitem=91)]

128. STGAT: Modeling Spatial-Temporal Interactions for Human Trajectory Prediction

[[Paper](http://openaccess.thecvf.com/content_ICCV_2019/html/Huang_STGAT_Modeling_Spatial-Temporal_Interactions_for_Human_Trajectory_Prediction_ICCV_2019_paper.html)]  [[Video](https://conftube.com/video/8oUPyhwzIDo?tocitem=106)]

129. Learning Motion in Feature Space: Locally-Consistent Deformable Convolution Networks for Fine-Grained Action Detection

[[Paper](http://openaccess.thecvf.com/content_ICCV_2019/html/Mac_Learning_Motion_in_Feature_Space_Locally-Consistent_Deformable_Convolution_Networks_for_ICCV_2019_paper.html)]  [[Video](https://conftube.com/video/8oUPyhwzIDo?tocitem=113)]

130. Dual Attention Matching for Audio-Visual Event Localization

[[Paper](http://openaccess.thecvf.com/content_ICCV_2019/html/Wu_Dual_Attention_Matching_for_Audio-Visual_Event_Localization_ICCV_2019_paper.html)]  [[Video](https://conftube.com/video/8oUPyhwzIDo?tocitem=120)]

131. Uncertainty-Aware Audiovisual Activity Recognition Using Deep Bayesian Variational Inference

[[Paper](http://openaccess.thecvf.com/content_ICCV_2019/html/Subedar_Uncertainty-Aware_Audiovisual_Activity_Recognition_Using_Deep_Bayesian_Variational_Inference_ICCV_2019_paper.html)]  [[Video](https://conftube.com/video/8oUPyhwzIDo?tocitem=130)]

132. Non-Local Recurrent Neural Memory for Supervised Sequence Modeling

[[Paper](http://openaccess.thecvf.com/content_ICCV_2019/html/Fu_Non-Local_Recurrent_Neural_Memory_for_Supervised_Sequence_Modeling_ICCV_2019_paper.html)]  [[Video](https://conftube.com/video/8oUPyhwzIDo?tocitem=139)]

133. Temporal Attentive Alignment for Large-Scale Video Domain Adaptation

[[Paper](http://openaccess.thecvf.com/content_ICCV_2019/html/Chen_Temporal_Attentive_Alignment_for_Large-Scale_Video_Domain_Adaptation_ICCV_2019_paper.html)]  [[Video](https://conftube.com/video/8oUPyhwzIDo?tocitem=146)]

134. Action Assessment by Joint Relation Graphs

[[Paper](http://openaccess.thecvf.com/content_ICCV_2019/html/Pan_Action_Assessment_by_Joint_Relation_Graphs_ICCV_2019_paper.html)]  [[Video](https://conftube.com/video/8oUPyhwzIDo?tocitem=159)]

135. Unsupervised Procedure Learning via Joint Dynamic Summarization

[[Paper](http://openaccess.thecvf.com/content_ICCV_2019/html/Elhamifar_Unsupervised_Procedure_Learning_via_Joint_Dynamic_Summarization_ICCV_2019_paper.html)]  [[Video](https://conftube.com/video/8oUPyhwzIDo?tocitem=167)]

136. ViSiL: Fine-Grained Spatio-Temporal Video Similarity Learning

[[Paper](http://openaccess.thecvf.com/content_ICCV_2019/html/Kordopatis-Zilos_ViSiL_Fine-Grained_Spatio-Temporal_Video_Similarity_Learning_ICCV_2019_paper.html)]  [[Video](https://conftube.com/video/8oUPyhwzIDo?tocitem=177)]

137. Learning Single Camera Depth Estimation Using Dual-Pixels

[[Paper](http://openaccess.thecvf.com/content_ICCV_2019/html/Garg_Learning_Single_Camera_Depth_Estimation_Using_Dual-Pixels_ICCV_2019_paper.html)]  [[Video](https://conftube.com/video/zem03fZWLrQ?tocitem=2)]

138. Domain-Adaptive Single-View 3D Reconstruction

[[Paper](http://openaccess.thecvf.com/content_ICCV_2019/html/Pinheiro_Domain-Adaptive_Single-View_3D_Reconstruction_ICCV_2019_paper.html)]  [[Video](https://conftube.com/video/zem03fZWLrQ?tocitem=13)]

139. Transformable Bottleneck Networks

[[Paper](http://openaccess.thecvf.com/content_ICCV_2019/html/Olszewski_Transformable_Bottleneck_Networks_ICCV_2019_paper.html)]  [[Video](https://conftube.com/video/zem03fZWLrQ?tocitem=22)]

140. RIO: 3D Object Instance Re-Localization in Changing Indoor Environments

[[Paper](http://openaccess.thecvf.com/content_ICCV_2019/html/Wald_RIO_3D_Object_Instance_Re-Localization_in_Changing_Indoor_Environments_ICCV_2019_paper.html)]  [[Video](https://conftube.com/video/zem03fZWLrQ?tocitem=32)]

141. Pix2Pose: Pixel-Wise Coordinate Regression of Objects for 6D Pose Estimation

[[Paper](http://openaccess.thecvf.com/content_ICCV_2019/html/Park_Pix2Pose_Pixel-Wise_Coordinate_Regression_of_Objects_for_6D_Pose_Estimation_ICCV_2019_paper.html)]  [[Video](https://conftube.com/video/zem03fZWLrQ?tocitem=39)]

142. CDPN: Coordinates-Based Disentangled Pose Network for Real-Time RGB-Based 6-DoF Object Pose Estimation

[[Paper](http://openaccess.thecvf.com/content_ICCV_2019/html/Li_CDPN_Coordinates-Based_Disentangled_Pose_Network_for_Real-Time_RGB-Based_6-DoF_Object_ICCV_2019_paper.html)]  [[Video](https://conftube.com/video/zem03fZWLrQ?tocitem=49)]

143. C3DPO: Canonical 3D Pose Networks for Non-Rigid Structure From Motion

[[Paper](http://openaccess.thecvf.com/content_ICCV_2019/html/Novotny_C3DPO_Canonical_3D_Pose_Networks_for_Non-Rigid_Structure_From_Motion_ICCV_2019_paper.html)]  [[Video](https://conftube.com/video/zem03fZWLrQ?tocitem=65)]

144. Learning to Reconstruct 3D Manhattan Wireframes From a Single Image

[[Paper](http://openaccess.thecvf.com/content_ICCV_2019/html/Zhou_Learning_to_Reconstruct_3D_Manhattan_Wireframes_From_a_Single_Image_ICCV_2019_paper.html)]  [[Video](https://conftube.com/video/zem03fZWLrQ?tocitem=76)]

145. Soft Rasterizer: A Differentiable Renderer for Image-Based 3D Reasoning

[[Paper](http://openaccess.thecvf.com/content_ICCV_2019/html/Liu_Soft_Rasterizer_A_Differentiable_Renderer_for_Image-Based_3D_Reasoning_ICCV_2019_paper.html)]  [[Video](https://conftube.com/video/zem03fZWLrQ?tocitem=91)]

146. Learnable Triangulation of Human Pose

[[Paper](http://openaccess.thecvf.com/content_ICCV_2019/html/Iskakov_Learnable_Triangulation_of_Human_Pose_ICCV_2019_paper.html)]  [[Video](https://conftube.com/video/zem03fZWLrQ?tocitem=100)]

147. xR-EgoPose: Egocentric 3D Human Pose From an HMD Camera

[[Paper](http://openaccess.thecvf.com/content_ICCV_2019/html/Tome_xR-EgoPose_Egocentric_3D_Human_Pose_From_an_HMD_Camera_ICCV_2019_paper.html)]  [[Video](https://conftube.com/video/zem03fZWLrQ?tocitem=110)]

148. DeepHuman: 3D Human Reconstruction From a Single Image

[[Paper](http://openaccess.thecvf.com/content_ICCV_2019/html/Zheng_DeepHuman_3D_Human_Reconstruction_From_a_Single_Image_ICCV_2019_paper.html)]  [[Video](https://conftube.com/video/zem03fZWLrQ?tocitem=117)]

149. A Neural Network for Detailed Human Depth Estimation From a Single Image

[[Paper](http://openaccess.thecvf.com/content_ICCV_2019/html/Tang_A_Neural_Network_for_Detailed_Human_Depth_Estimation_From_a_ICCV_2019_paper.html)]  [[Video](https://conftube.com/video/zem03fZWLrQ?tocitem=125)]

150. DenseRaC: Joint 3D Pose and Shape Estimation by Dense Render-and-Compare

[[Paper](http://openaccess.thecvf.com/content_ICCV_2019/html/Xu_DenseRaC_Joint_3D_Pose_and_Shape_Estimation_by_Dense_Render-and-Compare_ICCV_2019_paper.html)]  [[Video](https://conftube.com/video/zem03fZWLrQ?tocitem=134)]

151. Not All Parts Are Created Equal: 3D Pose Estimation by Modeling Bi-Directional Dependencies of Body Parts

[[Paper](http://openaccess.thecvf.com/content_ICCV_2019/html/Wang_Not_All_Parts_Are_Created_Equal_3D_Pose_Estimation_by_ICCV_2019_paper.html)]  [[Video](https://conftube.com/video/zem03fZWLrQ?tocitem=140)]

152. Extreme View Synthesis

[[Paper](http://openaccess.thecvf.com/content_ICCV_2019/html/Choi_Extreme_View_Synthesis_ICCV_2019_paper.html)]  [[Video](https://conftube.com/video/IWkSJQ6xxdc?tocitem=2)]

153. View Independent Generative Adversarial Network for Novel View Synthesis

[[Paper](http://openaccess.thecvf.com/content_ICCV_2019/html/Xu_View_Independent_Generative_Adversarial_Network_for_Novel_View_Synthesis_ICCV_2019_paper.html)]  [[Video](https://conftube.com/video/IWkSJQ6xxdc?tocitem=16)]

154. Cascaded Context Pyramid for Full-Resolution 3D Semantic Scene Completion

[[Paper](http://openaccess.thecvf.com/content_ICCV_2019/html/Zhang_Cascaded_Context_Pyramid_for_Full-Resolution_3D_Semantic_Scene_Completion_ICCV_2019_paper.html)]  [[Video](https://conftube.com/video/IWkSJQ6xxdc?tocitem=29)]

155. View-Consistent 4D Light Field Superpixel Segmentation

[[Paper](http://openaccess.thecvf.com/content_ICCV_2019/html/Khan_View-Consistent_4D_Light_Field_Superpixel_Segmentation_ICCV_2019_paper.html)]  [[Video](https://conftube.com/video/IWkSJQ6xxdc?tocitem=36)]

156. GLoSH: Global-Local Spherical Harmonics for Intrinsic Image Decomposition

[[Paper](http://openaccess.thecvf.com/content_ICCV_2019/html/Zhou_GLoSH_Global-Local_Spherical_Harmonics_for_Intrinsic_Image_Decomposition_ICCV_2019_paper.html)]  [[Video](https://conftube.com/video/IWkSJQ6xxdc?tocitem=44)]

157. Surface Normals and Shape From Water

[[Paper](http://openaccess.thecvf.com/content_ICCV_2019/html/Murai_Surface_Normals_and_Shape_From_Water_ICCV_2019_paper.html)]  [[Video](https://conftube.com/video/IWkSJQ6xxdc?tocitem=53)]

158. Restoration of Non-Rigidly Distorted Underwater Images Using a Combination of Compressive Sensing and Local Polynomial Image Representations

[[Paper](http://openaccess.thecvf.com/content_ICCV_2019/html/James_Restoration_of_Non-Rigidly_Distorted_Underwater_Images_Using_a_Combination_of_ICCV_2019_paper.html)]  [[Video](https://conftube.com/video/IWkSJQ6xxdc?tocitem=60)]

159. Learning Perspective Undistortion of Portraits

[[Paper](http://openaccess.thecvf.com/content_ICCV_2019/html/Zhao_Learning_Perspective_Undistortion_of_Portraits_ICCV_2019_paper.html)]  [[Video](https://conftube.com/video/IWkSJQ6xxdc?tocitem=70)]

160. Towards Photorealistic Reconstruction of Highly Multiplexed Lensless Images

[[Paper](http://openaccess.thecvf.com/content_ICCV_2019/html/Khan_Towards_Photorealistic_Reconstruction_of_Highly_Multiplexed_Lensless_Images_ICCV_2019_paper.html)]  [[Video](https://conftube.com/video/IWkSJQ6xxdc?tocitem=83)]

161. Unconstrained Motion Deblurring for Dual-Lens Cameras

[[Paper](http://openaccess.thecvf.com/content_ICCV_2019/html/Mohan_Unconstrained_Motion_Deblurring_for_Dual-Lens_Cameras_ICCV_2019_paper.html)]  [[Video](https://conftube.com/video/IWkSJQ6xxdc?tocitem=96)]

162. Stochastic Exposure Coding for Handling Multi-ToF-Camera Interference

[[Paper](http://openaccess.thecvf.com/content_ICCV_2019/html/Lee_Stochastic_Exposure_Coding_for_Handling_Multi-ToF-Camera_Interference_ICCV_2019_paper.html)]  [[Video](https://conftube.com/video/IWkSJQ6xxdc?tocitem=107)]

163. Convolutional Approximations to the General Non-Line-of-Sight Imaging Operator

[[Paper](http://openaccess.thecvf.com/content_ICCV_2019/html/Ahn_Convolutional_Approximations_to_the_General_Non-Line-of-Sight_Imaging_Operator_ICCV_2019_paper.html)]  [[Video](https://conftube.com/video/IWkSJQ6xxdc?tocitem=120)]

164. Agile Depth Sensing Using Triangulation Light Curtains

[[Paper](http://openaccess.thecvf.com/content_ICCV_2019/html/Bartels_Agile_Depth_Sensing_Using_Triangulation_Light_Curtains_ICCV_2019_paper.html)]  [[Video](https://conftube.com/video/IWkSJQ6xxdc?tocitem=127)]

165. Asynchronous Single-Photon 3D Imaging

[[Paper](http://openaccess.thecvf.com/content_ICCV_2019/html/Gupta_Asynchronous_Single-Photon_3D_Imaging_ICCV_2019_paper.html)]  [[Video](https://conftube.com/video/IWkSJQ6xxdc?tocitem=140)]

166. YOLACT: Real-Time Instance Segmentation

[[Paper](http://openaccess.thecvf.com/content_ICCV_2019/html/Bolya_YOLACT_Real-Time_Instance_Segmentation_ICCV_2019_paper.html)]  [[Video](https://conftube.com/video/2ntDYowHbZs?tocitem=2)]

167. Expectation-Maximization Attention Networks for Semantic Segmentation

[[Paper](http://openaccess.thecvf.com/content_ICCV_2019/html/Li_Expectation-Maximization_Attention_Networks_for_Semantic_Segmentation_ICCV_2019_paper.html)]  [[Video](https://conftube.com/video/2ntDYowHbZs?tocitem=10)]

168. Multi-Class Part Parsing With Joint Boundary-Semantic Awareness

[[Paper](http://openaccess.thecvf.com/content_ICCV_2019/html/Zhao_Multi-Class_Part_Parsing_With_Joint_Boundary-Semantic_Awareness_ICCV_2019_paper.html)]  [[Video](https://conftube.com/video/2ntDYowHbZs?tocitem=15)]

169. Explaining Neural Networks Semantically and Quantitatively

[[Paper](http://openaccess.thecvf.com/content_ICCV_2019/html/Chen_Explaining_Neural_Networks_Semantically_and_Quantitatively_ICCV_2019_paper.html)]  [[Video](https://conftube.com/video/2ntDYowHbZs?tocitem=24)]

170. PANet: Few-Shot Image Semantic Segmentation With Prototype Alignment

[[Paper](http://openaccess.thecvf.com/content_ICCV_2019/html/Wang_PANet_Few-Shot_Image_Semantic_Segmentation_With_Prototype_Alignment_ICCV_2019_paper.html)]  [[Video](https://conftube.com/video/2ntDYowHbZs?tocitem=28)]

171. ShapeMask: Learning to Segment Novel Objects by Refining Shape Priors

[[Paper](http://openaccess.thecvf.com/content_ICCV_2019/html/Kuo_ShapeMask_Learning_to_Segment_Novel_Objects_by_Refining_Shape_Priors_ICCV_2019_paper.html)]  [[Video](https://conftube.com/video/2ntDYowHbZs?tocitem=36)]

172. Sequence Level Semantics Aggregation for Video Object Detection

[[Paper](http://openaccess.thecvf.com/content_ICCV_2019/html/Wu_Sequence_Level_Semantics_Aggregation_for_Video_Object_Detection_ICCV_2019_paper.html)]  [[Video](https://conftube.com/video/2ntDYowHbZs?tocitem=52)]

173. Video Object Segmentation Using Space-Time Memory Networks

[[Paper](http://openaccess.thecvf.com/content_ICCV_2019/html/Oh_Video_Object_Segmentation_Using_Space-Time_Memory_Networks_ICCV_2019_paper.html)]  [[Video](https://conftube.com/video/2ntDYowHbZs?tocitem=57)]

174. Zero-Shot Video Object Segmentation via Attentive Graph Neural Networks

[[Paper](http://openaccess.thecvf.com/content_ICCV_2019/html/Wang_Zero-Shot_Video_Object_Segmentation_via_Attentive_Graph_Neural_Networks_ICCV_2019_paper.html)]  [[Video](https://conftube.com/video/2ntDYowHbZs?tocitem=62)]

175. MeteorNet: Deep Learning on Dynamic 3D Point Cloud Sequences

[[Paper](http://openaccess.thecvf.com/content_ICCV_2019/html/Liu_MeteorNet_Deep_Learning_on_Dynamic_3D_Point_Cloud_Sequences_ICCV_2019_paper.html)]  [[Video](https://conftube.com/video/2ntDYowHbZs?tocitem=69)]

176. 3D Instance Segmentation via Multi-Task Metric Learning

[[Paper](http://openaccess.thecvf.com/content_ICCV_2019/html/Lahoud_3D_Instance_Segmentation_via_Multi-Task_Metric_Learning_ICCV_2019_paper.html)]  [[Video](https://conftube.com/video/2ntDYowHbZs?tocitem=80)]

177. DeepGCNs: Can GCNs Go As Deep As CNNs?

[[Paper](http://openaccess.thecvf.com/content_ICCV_2019/html/Li_DeepGCNs_Can_GCNs_Go_As_Deep_As_CNNs_ICCV_2019_paper.html)]  [[Video](https://conftube.com/video/2ntDYowHbZs?tocitem=88)]

178. Deep Hough Voting for 3D Object Detection in Point Clouds

[[Paper](http://openaccess.thecvf.com/content_ICCV_2019/html/Qi_Deep_Hough_Voting_for_3D_Object_Detection_in_Point_Clouds_ICCV_2019_paper.html)]  [[Video](https://conftube.com/video/2ntDYowHbZs?tocitem=96)]

179. M3D-RPN: Monocular 3D Region Proposal Network for Object Detection

[[Paper](http://openaccess.thecvf.com/content_ICCV_2019/html/Brazil_M3D-RPN_Monocular_3D_Region_Proposal_Network_for_Object_Detection_ICCV_2019_paper.html)]  [[Video](https://conftube.com/video/2ntDYowHbZs?tocitem=105)]

180. SemanticKITTI: A Dataset for Semantic Scene Understanding of LiDAR Sequences

[[Paper](http://openaccess.thecvf.com/content_ICCV_2019/html/Behley_SemanticKITTI_A_Dataset_for_Semantic_Scene_Understanding_of_LiDAR_Sequences_ICCV_2019_paper.html)]  [[Video](https://conftube.com/video/2ntDYowHbZs?tocitem=113)]

181. WoodScape: A Multi-Task, Multi-Camera Fisheye Dataset for Autonomous Driving

[[Paper](http://openaccess.thecvf.com/content_ICCV_2019/html/Yogamani_WoodScape_A_Multi-Task_Multi-Camera_Fisheye_Dataset_for_Autonomous_Driving_ICCV_2019_paper.html)]  [[Video](https://conftube.com/video/2ntDYowHbZs?tocitem=122)]

182. Scalable Place Recognition Under Appearance Change for Autonomous Driving

[[Paper](http://openaccess.thecvf.com/content_ICCV_2019/html/Doan_Scalable_Place_Recognition_Under_Appearance_Change_for_Autonomous_Driving_ICCV_2019_paper.html)]  [[Video](https://conftube.com/video/2ntDYowHbZs?tocitem=128)]

183. Exploring the Limitations of Behavior Cloning for Autonomous Driving

[[Paper](http://openaccess.thecvf.com/content_ICCV_2019/html/Codevilla_Exploring_the_Limitations_of_Behavior_Cloning_for_Autonomous_Driving_ICCV_2019_paper.html)]  [[Video](https://conftube.com/video/2ntDYowHbZs?tocitem=134)]

184. Habitat: A Platform for Embodied AI Research

[[Paper](http://openaccess.thecvf.com/content_ICCV_2019/html/Savva_Habitat_A_Platform_for_Embodied_AI_Research_ICCV_2019_paper.html)]  [[Video](https://conftube.com/video/2ntDYowHbZs?tocitem=143)]

185. Towards Interpretable Face Recognition

[[Paper](http://openaccess.thecvf.com/content_ICCV_2019/html/Yin_Towards_Interpretable_Face_Recognition_ICCV_2019_paper.html)]  [[Video](https://conftube.com/video/ByfFufRhuRc?tocitem=2)]

186. Co-Mining: Deep Face Recognition With Noisy Labels

[[Paper](http://openaccess.thecvf.com/content_ICCV_2019/html/Wang_Co-Mining_Deep_Face_Recognition_With_Noisy_Labels_ICCV_2019_paper.html)]  [[Video](https://conftube.com/video/ByfFufRhuRc?tocitem=12)]

187. Few-Shot Adaptive Gaze Estimation

[[Paper](http://openaccess.thecvf.com/content_ICCV_2019/html/Park_Few-Shot_Adaptive_Gaze_Estimation_ICCV_2019_paper.html)]  [[Video](https://conftube.com/video/ByfFufRhuRc?tocitem=17)]

188. Live Face De-Identification in Video

[[Paper](http://openaccess.thecvf.com/content_ICCV_2019/html/Gafni_Live_Face_De-Identification_in_Video_ICCV_2019_paper.html)]  [[Video](https://conftube.com/video/ByfFufRhuRc?tocitem=23)]

189. Face Video Deblurring Using 3D Facial Priors

[[Paper](http://openaccess.thecvf.com/content_ICCV_2019/html/Ren_Face_Video_Deblurring_Using_3D_Facial_Priors_ICCV_2019_paper.html)]  [[Video](https://conftube.com/video/ByfFufRhuRc?tocitem=31)]

190. Semi-Supervised Monocular 3D Face Reconstruction With End-to-End Shape-Preserved Domain Transfer

[[Paper](http://openaccess.thecvf.com/content_ICCV_2019/html/Piao_Semi-Supervised_Monocular_3D_Face_Reconstruction_With_End-to-End_Shape-Preserved_Domain_Transfer_ICCV_2019_paper.html)]  [[Video](https://conftube.com/video/ByfFufRhuRc?tocitem=39)]

191. 3D Face Modeling From Diverse Raw Scan Data

[[Paper](http://openaccess.thecvf.com/content_ICCV_2019/html/Liu_3D_Face_Modeling_From_Diverse_Raw_Scan_Data_ICCV_2019_paper.html)]  [[Video](https://conftube.com/video/ByfFufRhuRc?tocitem=49)]

192. A Decoupled 3D Facial Shape Model by Adversarial Training

[[Paper](http://openaccess.thecvf.com/content_ICCV_2019/html/Abrevaya_A_Decoupled_3D_Facial_Shape_Model_by_Adversarial_Training_ICCV_2019_paper.html)]  [[Video](https://conftube.com/video/ByfFufRhuRc?tocitem=58)]

193. Photo-Realistic Facial Details Synthesis From Single Image

[[Paper](http://openaccess.thecvf.com/content_ICCV_2019/html/Chen_Photo-Realistic_Facial_Details_Synthesis_From_Single_Image_ICCV_2019_paper.html)]  [[Video](https://conftube.com/video/ByfFufRhuRc?tocitem=68)]

194. S2GAN: Share Aging Factors Across Ages and Share Aging Trends Among Individuals

[[Paper](http://openaccess.thecvf.com/content_ICCV_2019/html/He_S2GAN_Share_Aging_Factors_Across_Ages_and_Share_Aging_Trends_ICCV_2019_paper.html)]  [[Video](https://conftube.com/video/ByfFufRhuRc?tocitem=78)]

195. PuppetGAN: Cross-Domain Image Manipulation by Demonstration

[[Paper](http://openaccess.thecvf.com/content_ICCV_2019/html/Usman_PuppetGAN_Cross-Domain_Image_Manipulation_by_Demonstration_ICCV_2019_paper.html)]  [[Video](https://conftube.com/video/ByfFufRhuRc?tocitem=84)]

196. Few-Shot Adversarial Learning of Realistic Neural Talking Head Models

[[Paper](http://openaccess.thecvf.com/content_ICCV_2019/html/Zakharov_Few-Shot_Adversarial_Learning_of_Realistic_Neural_Talking_Head_Models_ICCV_2019_paper.html)]  [[Video](https://conftube.com/video/ByfFufRhuRc?tocitem=92)]

197. Pose-Aware Multi-Level Feature Network for Human Object Interaction Detection

[[Paper](http://openaccess.thecvf.com/content_ICCV_2019/html/Wan_Pose-Aware_Multi-Level_Feature_Network_for_Human_Object_Interaction_Detection_ICCV_2019_paper.html)]  [[Video](https://conftube.com/video/ByfFufRhuRc?tocitem=101)]

198. TRB: A Novel Triplet Representation for Understanding 2D Human Body

[[Paper](http://openaccess.thecvf.com/content_ICCV_2019/html/Duan_TRB_A_Novel_Triplet_Representation_for_Understanding_2D_Human_Body_ICCV_2019_paper.html)]  [[Video](https://conftube.com/video/ByfFufRhuRc?tocitem=109)]

199. Learning Trajectory Dependencies for Human Motion Prediction

[[Paper](http://openaccess.thecvf.com/content_ICCV_2019/html/Mao_Learning_Trajectory_Dependencies_for_Human_Motion_Prediction_ICCV_2019_paper.html)]  [[Video](https://conftube.com/video/ByfFufRhuRc?tocitem=120)]

200. Cross-Domain Adaptation for Animal Pose Estimation

[[Paper](http://openaccess.thecvf.com/content_ICCV_2019/html/Cao_Cross-Domain_Adaptation_for_Animal_Pose_Estimation_ICCV_2019_paper.html)]  [[Video](https://conftube.com/video/ByfFufRhuRc?tocitem=129)]