论文合集 | 已读论文列表整理 (更新中)

写在前面

未经允许,不得转载,谢谢~~~

把目前看的一些论文简单整理一下,方便以后查阅。

看的论文还是太少了,都不好意思放出来ε(┬┬﹏┬┬)3,接下来持续更新~

1. Video Captioning

  • CVPR2015: sequence to sequence - video to text 0

2. Video Action Recognition(Video Representation Learning)

  • ICCV2015: Learning Spatiotemporal Features with 3D Convolutional Networks 1 C3D
  • ICCV2017: Learning Spatio-Temporal Representation with Pseudo-3D Residual Networks 2 P3D
  • CVPR2018: A Closer Look at Spatiotemporal convolutions for action recognition 3 R(2+1)D
  • CVPR2018: What makes a video a video: Analyzing Temporal Information in Video Understanding models and Dateset 8
  • CVPR2018: Geometry Guided Convolutional Neural Networks for Self-Supervised Video Representation Learning 9
  • ECCV2016: Temporal Segment Networks:Towards Good Practices for Deep Action Recognition12 TSN
  • CVPR2017: Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset 14 I3D
  • ICCV2011: HMDB: A Large Video Database for Human Motion Recognition 15 HMDB dataset
  • ACM-MM2016: Multi-Stream Multi-Class Fusion of Deep Networks for Video Classification 19 multi-model
  • ECCV2018:Temporal relational reasoning in videos 24 TRN
  • NIPS2014: Two-stream Convolution Networks for Action Recognition in Videos 41 two-stream
  • CVPR2015: long-term recurrent convolutional networks for visual recognition and description 42 LRCN
  • CVPR2016:convolutional two-stream network fusion for video action recognition 43
  • CVPR2019: PA3D: Pose-Action 3D Machine for Video Recognition 60 PA3D combine pose
  • CVPR2019: Learning_Correspondence_From_the_Cycle-Consistency_of_Timer, 66
  • ECCV2018: Videos_as_Space-Time Region Graphs, '67', GCN
  • AAAI2018: Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action recogntion, 68, GCN
  • CVPR2018: Zero-shot Recognition via Semantic Embeddings and Knowledge Graphs, 69, zero-shot, GCN
  • ECCV2018: Neural Graph Matching Networks for Fewshot 3D Action Recognition, 70, graph
  • WACV2019: Follow the Attention Combining Partial Pose and Object Motion for action detection, 71, fine-grained
  • ICCV2019: SlowFast Networks for Video Recognition, 75, slowfast
  • CVPR2018: Non-Local_Neural_Networks, 76, non-local
  • The Kinetics Human Action Video Dataset, 78, Kinetics, dataset

3. Image Retrieval

  • [TPAMI重磅综述]SIFT与CNN的碰撞:万字长文回顾图像检索任务十年探索历程(上篇) review
  • [TPAMI重磅综述]SIFT与CNN的碰撞:万字长文回顾图像检索任务十年探索历程(下篇) review
  • ACM Transactions on Graphics 2015:Learning visual similarity for product design with convolutional neural networks 6
  • CVPR2015: FaceNet: A unified Embedding for face recognition and clustering 7 facenet

4. Object Detection

  • ECCV2016: SSD: Single Shot MultiBox Detector 11 SSD

5. Knowledge Distillation

  • NIPS2015: Distilling the knowledge in a neural network 18
  • arxiv2019: dataset distillation 45

6. 3D Reconstruction

  • ECCV2018:Pixel2Mesh: Generating 3D Mesh Models from Single RGB Images 26 pixel2mesh
  • CVPR2018: End-to-end Recovery of Human Shape and Pose 27 HMR
  • 3DV2017: towards accurate markerless human shape and pose estimation over time 28
  • CVPR2018: DensePose: Dense Human Pose Estimation In The Wild 29 DensePose DensePose-COCO dataset
  • Computer Vision and Image Understanding 2016: 3D Human pose estimation: A review of the literature and analysis of covariates 30 review
  • CVPR2017: Unite the People: Closing the Loop Between 3D and 2D Human Representations 31 up-3d dataset
  • NIPS2018: Visual Object Networks: Image Generation with Disentangled 3D Representation 46 VON
  • CVPR2019 oral:Deep Voxels: Learning Persistent 3D Feature Embeddings 47 DeepVoxels
  • arxiv2019: Vid2Game: Controllable Characters Extracted from Real-World Videos 48
  • CVPR2019 oral:Convolutional Mesh Regression for Single-Image Human Shape Reconstruction 49
  • ACM TOG 2015: SMPL: A Skinned Multi-Person Linear Model 50 SMPL
  • arxiv2019: DISN: Deep Implicit Surface Network for High-quality Single-view 3D Reconstruction 54 DISN
  • CVPR2019: Learning joint reconstruction of hands and manipulated objects 55
  • CVPR2019: DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation 55 DeepSDF
  • CVPR2019: Detailed Human Shape Estimation from a Single Image by Hierarchical Mesh Deformation 56
  • CVPR2019: Photo Wake-Up: 3D Character Animation from a Single Photo, 58 animation
  • ICCV2019: Resolving 3D Human Pose Ambiguities with 3D Scene Constraints, 62, joint reconstruction of human and scene
  • 360-Degree Textures of People in Clothing from a Single Image,63
  • Dual Attention MobDenseNet(DAMDNet) for Robust 3D Face Alignment, 64
  • Modeling Stylized Character Expressions via Deep Learnin, 65

7. One-shot Leaning

One-shot Image classification

  • ICLR2019:image deformation meta-network for one-shot learning 32 IDeMeNet
  • NIPS2017:prototypical networks for few-shot learning 36
  • AAAI 2019:image block augmentation for one-shot learning 37
  • NIPS2016: matching networks for one-shot learning 57 Matching Net

One-shot video classification

  • ECCV2018: compound memory networks for few-shot video classification 33 CMN

else one-shot learning tasks

  • CVPR2018: one-shot action localization by learning sequence matching network 39 action localization sliding window

8. Else

  • ICCV2017: Deformable Convolutional Networks 4 deform conv
  • CVPR2018: Learning Semantic Concepts and Order for Image and Sentence Matching 5 Image and sentence matching
  • CVPR2018: temporal deformable residual networks for action segmentation in videos 10 deform conv TDRN
  • IEEE Access 2018:POLSAR image classification via Clustering-WAE classification model 17 image classifictaion clustering
  • CVPR2015:Webly Supervised Learning of Convolutional Networks 20 webly learning image classification
  • CVPR 2018:Webly Supervised Learning Meets Zero-Shot Learning: A Hybrid Approach for Fine-Grained Classification 21 webly learning image classification zero-shot learning
  • ICML2018:Block-box adversarial attacks with limited queries and information 22 adversarial attack
  • Neuro-computing 2014:a novel graph-based k-means for nonlinear manifold clustering and representative selection 23 clustering
  • Artificial Intelligence 2002:A perspective view and survey of meta-learning 34 review meta-learning
  • arxiv2018:meta-learining: a survey 35 review meta-learning
  • CVPR2015: show attend and tell neural image caption generation with visual attention 38 attention image captioning
  • CVPR2017:adversarial discriminative domain adaptation 40 adversarial learning domain adaptation
  • CVPR2019: Synthesizing Environment-Aware Activities via Activity Sketches 59 agent synthesis videos VirtualHome VirtualHome-Env
  • CVPR2017: Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields 61 PAF pose estimation
  • CVPR2018: Dual Skipping Networks, 72,image classification, fine-grained
  • CVPR2018: Bag of Tricks for Image Classification, 77, tricks, image classification

papers for course projects

  • CHI2014: CHI 1994-2013: mapping two decades of intellectual progress through co-word analysis 13 human interaction
  • LERC2016:RankDCG:Rank-ordering evaluation measure 16 retrieval rank measure RankDCG
  • ACL2017: Deep Pyramid Convolutional Neural Networks for Text Categorization 25 nlp text categorization pyramid DPCNN
  • CVPR2015: Histograms of Oriented Gradients for Human Detection 52 HOG human detection object detection
  • PAMI2010:object detection with discriminatively trained part based models 53 DPM object detection

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