计算机视觉和模式识别 CVPR2016的代码合集

JamesChuanggg/san-torch: Torch Implementation for Stacked Attention Networks for Image Question Answering

(github.com)

attention conference-cvpr-2016 cvpr-images-and-language cvpr-language-and-vision lang-lua stack-based torch7 visual-qa

0 Comments,

1 point 23 hours ago

by jameschuanggg

1

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Code / Papers:DoReFa-Net: Training Low Bitwidth Convolutional Neural Networks with Low Bitwidth Gradients

(github.com)

conference-cvpr-2016 lang-python model-compression-parameter-pruning tensorflow

0 Comments,

4 points June 25

by ppwwyyxx

1

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zcyang/imageqa-san: code for Stacked attention networks for image question answering

[1 commit @ 5 days ago](github.com)

attention conference-cvpr-2016 cvpr-image-captioning-and-question-answering hierarchical domain-image lang-python seq2seq theano visual-qa

See also:

Papers:Stacked Attention Networks for Image Question Answering - Zichao Yang, Xiaodong He, Jianfeng Gao, Li Deng, Alex Smola (arxiv.org)  0 Comments

1 Comment,

3 points March 13

by sethnucleon

1

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roozbehm/newtonian: N3: Newtonian Image Understanding: Unfolding the Dynamics of Objects in Statis Images

(github.com)

conference-cvpr-2016 domain-image lang-lua

0 Comments,

2 points June 17

by pradeep_singh

1

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jwyang/joint-unsupervised-learning: Project for our CVPR2016 paper "Joint Unsupervised Learning of Deep Representations and Image Clusters"

[33 commits @ 47 days - 4 hours ago](github.com)

clustering conference-cvpr-2016 domain-image embeddings lang-lua torch7

See also:

Papers:Joint Unsupervised Learning of Deep Representations and Image Clusters - Jianwei Yang, Devi Parikh, Dhruv Batra (arxiv.org)  0 Comments

0 Comments,

3 points May 26

by sethnucleon

1

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jacobandreas/nmn2: Dynamically neural network structures for multi-domain question answering

[22 commits @ 92 days - 9 days ago](github.com)

conference-cvpr-2016 cvpr-image-captioning-and-question-answering domain-image lang-python seq2seq domain-text visual-qa

See also:

Papers:Learning to compose neural networks for question answering. - Jacob Andreas, Marcus Rohrbach, Trevor Darrell and Dan Klein. NAACL 2016. (arxiv.org)  0 Comments

Papers:Neural Module Networks. - Jacob Andreas, Marcus Rohrbach, Trevor Darrell, Dan Klein (arxiv.org)  0 Comments

0 Comments,

4 points February 12

by nyExpo

1

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myfavouritekk/vdetlib: Video detection library

[114 commits @ 8 months - 12 days ago](github.com)

conference-cvpr-2016 domain-video image-object-localization

See also:

Papers:Object Detection From Video Tubelets With Convolutional Neural Networks. - Kai Kang, Wanli Ouyang, Hongsheng Li, Xiaogang Wan (arxiv.org)  0 Comments

Code:myfavouritekk/T-CNN: ImageNet 2015 Object Detection from Video (VID) (github.com)  0 Comments

0 Comments,

4 points May 24

by pradeep_singh

1

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gidariss/LocNet: LocNet: Improving Localization Accuracy for Object Detection

[9 commits @ 47 days - 45 days ago](github.com)

conference-cvpr-2016 domain-image image-object-localization lang-matlab

See also:

Papers:LocNet: Improving Localization Accuracy for Object Detection. - Spyros Gidaris, Nikos Komodakis (arxiv.org)  0 Comments

0 Comments,

2 points May 22

by pradeep_singh

1

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Cysu/dgd_person_reid: Domain Guided Dropout for Person Re-identification

[92 commits @ 8 months - 80 hours ago](github.com)

conference-cvpr-2016 facial-recognition lang-matlab lang-python

See also:

Papers:Learning Deep Feature Representations With Domain Guided Dropout for Person Re-Identification. - Tong Xiao, Hongsheng Li, Wanli Ouyang, Xiaogang Wang (arxiv.org)  0 Comments

0 Comments,

2 points May 22

by sethnucleon

1

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batra-mlp-lab/object-proposals: Repository containing wrapper to obtain various object proposals easily

[195 commits @ 21 months - 95 days ago](github.com)

conference-cvpr-2016 domain-image image-object-localization lang-matlab

See also:

Papers:Object-Proposal Evaluation Protocol is ‘Gameable’. - Neelima Chavali, Harsh Agrawal, Aroma Mahendru, Dhruv Batra (arxiv.org)  0 Comments

Project-Pages:Project page for "Object-Proposal Evaluation Protocol is 'Gameable'" (filebox.ece.vt.edu)  0 Comments

0 Comments,

2 points May 22

by AlanNLP

1

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zzhang1987/HungarianBP: The Hungarian-BP code

(github.com)

conference-cvpr-2016 domain-image lang-matlab

See also:

Project-Pages:Project page for "Pairwise Matching through Max-Weight Bipartite Belief Propagation" (zzhang.org)  0 Comments

Papers:Pairwise Matching Through Max-Weight Bipartite Belief Propagation. - Zhen Zhang, Qinfeng Shi, Julian McAuley, Wei Wei, Yanning Zhang, Anton van den Hengel (zzhang.org)  0 Comments

0 Comments,

2 points May 22

by AlanNLP

1

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zhengshou/scnn: Segment-CNN: A Framework for Temporal Action Localization in Untrimmed Videos via Multi-stage CNNs

[19 commits @ 41 days - 22 days ago](github.com)

conference-cvpr-2016 domain-image domain-video

See also:

Papers:Temporal Action Localization in Untrimmed Videos via Multi-stage CNNs. - Zheng Shou, Dongang Wang, Shih-Fu Chang (arxiv.org)  0 Comments

0 Comments,

2 points May 22

by recursiveSheep

1

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phoenix104104/cvpr16_deblur_study: A Comparative Study for Single Image Blind Deblurring (CVPR 2016)

[10 commits @ 35 days - 16 days ago](github.com)

conference-cvpr-2016 domain-image lang-matlab super-resolution

See also:

Papers:A Comparative Study for Single Image Blind Deblurring. - Wei-Sheng Lai, Jia-Bin Huang, Zhe Hu, Narendra Ahuja, Ming-Hsuan Yang (vllab.ucmerced.edu)  0 Comments

0 Comments,

1 point May 22

by bfbva

1

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tsattler/geometric_burstiness: Code for "Large-Scale Location Recognition and the Geometric Burstiness Problem"

[2 commits @ 55 days - 55 days ago](github.com)

conference-cvpr-2016 domain-image

See also:

Papers:Large-Scale Location Recognition and the Geometric Burstiness Problem. - Torsten Sattler, Michal Havlena, Konrad Schindler, Marc Pollefeys (people.inf.ethz.ch)  0 Comments

0 Comments,

1 point May 22

by john_phillips

1

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huangzehao/caffe-vdsr: A Caffe-based implementation of very deep convolution network for image super-resolution

[25 commits @ 41 days - 43 hours ago](github.com)

caffe conference-cvpr-2016 domain-image super-resolution

See also:

Papers:Accurate Image Super-Resolution Using Very Deep Convolutional Networks. - Jiwon Kim, Jung Kwon Lee, Kyoung Mu Lee (arxiv.org)  0 Comments

0 Comments,

1 point May 22

by dmps

1

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jcjohnson/densecap: Dense image captioning in Torch - Code for "DenseCap: Fully Convolutional Localization Networks for Dense Captioning, Justin Johnson, Andrej Karpathy, Li Fei-Fei"

(github.com)

conference-cvpr-2016 domain-image image-captioning lang-lua torch7 upconvolution-fully-convolutional

See also:

Project-Pages:Project page for "DenseCap: Fully Convolutional Localization Networks for Dense Captioning, Justin Johnson, Andrej Karpathy, Li Fei-Fei" (cs.stanford.edu)  0 Comments

Papers:DenseCap: Fully Convolutional Localization Networks for Dense Captioning - Justin Johnson, Andrej Karpathy, Li Fei-Fei (arxiv.org)  0 Comments

0 Comments,

3 points May 16

by coder

1

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Code for "Instance-Level Segmentation for Autonomous Driving With Deep Densely Connected MRFs. - Ziyu Zhang, Sanja Fidler, Raquel Urtasun"

(bitbucket.org)

caffe conference-cvpr-2016 cvpr-segmentation-and-saliency domain-image domain-video lang-c

See also:

Videos:Video for "Instance-Level Segmentation for Autonomous Driving With Deep Densely Connected MRFs. - Ziyu Zhang, Sanja Fidler, Raquel Urtasun" (cs.toronto.edu)  0 Comments

Project-Pages:Project page for "Instance-Level Segmentation for Autonomous Driving With Deep Densely Connected MRFs. - Ziyu Zhang, Sanja Fidler, Raquel Urtasun" (cs.toronto.edu)  0 Comments

Papers:Instance-Level Segmentation for Autonomous Driving With Deep Densely Connected MRFs. - Ziyu Zhang, Sanja Fidler, Raquel Urtasun (arxiv.org)  0 Comments

0 Comments,

2 points May 14

by dmps

1

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Code / Project-Pages:Two Illuminant Estimation and User Correction Preference. - Dongliang Cheng, Abdelrahman Abdelhamed, Brian Price, Scott Cohen, Michael S. Brown

(comp.nus.edu.sg)

color-transfer conference-cvpr-2016 cvpr-low-level-vision domain-image

See also:

Papers:Effective Learning-Based Illuminant Estimation Using Simple Features. - Dongliang Cheng, Brian Price, Scott Cohen, Michael S. Brown (cv-foundation.org)  0 Comments

0 Comments,

2 points May 14

by dmps

1

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Code / Project-Pages:Project page for "Soft-Segmentation Guided Object Motion Deblurring. - Jinshan Pan, Zhe Hu, Zhixun Su, Hsin-Ying Lee, Ming-Hsuan Yang"

(vllab.ucmerced.edu)

conference-cvpr-2016 cvpr-low-level-vision domain-image

See also:

Papers:Soft-Segmentation Guided Object Motion Deblurring. - Jinshan Pan, Zhe Hu, Zhixun Su, Hsin-Ying Lee, Ming-Hsuan Yang (faculty.ucmerced.edu)  0 Comments

0 Comments,

2 points May 14

by dmps

1

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Code / Project-Pages:Project page for "Efficient and Robust Color Consistency for Community Photo Collections. - Jaesik Park, Yu-Wing Tai, Sudipta N. Sinha, In So Kweon"

(jaesik.info)

color-transfer conference-cvpr-2016 cvpr-low-level-vision domain-image

See also:

Videos:Video for "Efficient and Robust Color Consistency for Community Photo Collections. - Jaesik Park, Yu-Wing Tai, Sudipta N. Sinha, In So Kweon" (youtube.com)  0 Comments

Papers:Efficient and Robust Color Consistency for Community Photo Collections. - Jaesik Park, Yu-Wing Tai, Sudipta N. Sinha, In So Kweon (drive.google.com)  0 Comments

0 Comments,

2 points May 14

by AlanNLP

1

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Code / Project-Pages:MCMC Shape Sampling for Image Segmentation With Nonparametric Shape Priors. - Ertunc Erdil, Sinan Yildirim, Müjdat Cetin, Tolga Tasdizen

(labs.sabanciuniv.edu)

conference-cvpr-2016 cvpr-image-segmentation domain-image semantic-segmentation

0 Comments,

2 points May 14

by AlanNLP

1

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Code for "Pull the Plug? Predicting If Computers or Humans Should Segment Images. - Danna Gurari, Suyog Jain, Margrit Betke, Kristen Grauman"

(vision.cs.utexas.edu)

conference-cvpr-2016 cvpr-image-segmentation domain-image semantic-segmentation

See also:

Papers:Pull the Plug? Predicting If Computers or Humans Should Segment Images. - Danna Gurari, Suyog Jain, Margrit Betke, Kristen Grauman (cs.utexas.edu)  0 Comments

0 Comments,

2 points May 14

by AlanNLP

1

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Code / Project-Pages:Project page for "Fashion Style in 128 Floats: Joint Ranking and Classification Using Weak Data for Feature Extraction. - Edgar Simo-Serra, Hiroshi Ishikawa"

(hi.cs.waseda.ac.jp)

conference-cvpr-2016 cvpr-feature-extraction-and-description domain-image

See also:

Papers:Fashion Style in 128 Floats: Joint Ranking and Classification Using Weak Data for Feature Extraction. - Edgar Simo-Serra, Hiroshi Ishikawa (hi.cs.waseda.ac.jp)  0 Comments

0 Comments,

2 points May 14

by AlanNLP

1

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Code / Project-Pages:Project page for "Learning to Localize Little Landmarks. - Saurabh Singh, Derek Hoiem, David Forsyth"

(vision.cs.illinois.edu)

conference-cvpr-2016 cvpr-feature-extraction-and-description domain-image

See also:

Papers:Learning to Localize Little Landmarks. - Saurabh Singh, Derek Hoiem, David Forsyth (vision.cs.illinois.edu)  0 Comments

0 Comments,

2 points May 14

by bfbva

1

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Code / Datasets / Project-Pages:Project page for "Face Alignment Across Large Poses: A 3D Solution. - Xiangyu Zhu, Zhen Lei, Xiaoming Liu, Hailin Shi, Stan Z. Li"

(cbsr.ia.ac.cn)

conference-cvpr-2016 cvpr-matching-and-alignment domain-image facial-recognition

0 Comments,

2 points May 14

by bfbva

1

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Activation function used in "Learning to Assign Orientations to Feature Points. - Kwang Moo Yi, Yannick Verdie, Pascal Fua, Vincent Lepetit"

(github.com)

conference-cvpr-2016 cvpr-matching-and-alignment domain-image

See also:

Papers:TILDE: A Temporally Invariant Learned Detector - Yannick Verdie, Kwang Moo Yi, Pascal Fua, Vincent Lepetit (arxiv.org)  0 Comments

Papers:Learning to Assign Orientations to Feature Points. - Kwang Moo Yi, Yannick Verdie, Pascal Fua, Vincent Lepetit (arxiv.org)  0 Comments

Code:kmyid/TILDE: Repository for "TILDE: A Temporally Invariant Learned DEtector", CVPR2015 (github.com)  0 Comments

0 Comments,

2 points May 14

by bfbva

1

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Code / Project-Pages:Project page for "Latent Embeddings for Zero-Shot Classification. - Yongqin Xian, Zeynep Akata, Gaurav Sharma, Quynh Nguyen, Matthias Hein, Bernt Schiele"

(mpi-inf.mpg.de)

conference-cvpr-2016 cvpr-language-and-vision domain-image zero-shot-learning

0 Comments,

2 points May 14

by sethnucleon

1

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Code / Project-Pages:Project page for "Multi-Cue Zero-Shot Learning With Strong Supervision. - Zeynep Akata, Mateusz Malinowski, Mario Fritz, Bernt Schiele"

(mpi-inf.mpg.de)

conference-cvpr-2016 cvpr-language-and-vision embeddings domain-image information-retrieval zero-shot-learning

See also:

Papers:Multi-Cue Zero-Shot Learning With Strong Supervision. - Zeynep Akata, Mateusz Malinowski, Mario Fritz, Bernt Schiele (arxiv.org)  0 Comments

0 Comments,

2 points May 14

by sethnucleon

1

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Code / Project-Pages:Project Page for "Learning Deep Representations of Fine-Grained Visual Descriptions. - Scott Reed, Zeynep Akata, Honglak Lee , Bernt Schiele"

(mpi-inf.mpg.de)

conference-cvpr-2016 cvpr-language-and-vision domain-image image-captioning

See also:

Papers:Learning Deep Representations of Fine-Grained Visual Descriptions. - Scott Reed, Zeynep Akata, Honglak Lee, Bernt Schiele (d2.mpi-inf.mpg.de)  0 Comments

0 Comments,

2 points May 14

by sethnucleon

1

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fperazzi/davis: A Benchmark Dataset and Evaluation Methodology for Video Object Segmentation (DAVIS)

(github.com)

conference-cvpr-2016 cvpr-video-segmentation domain-video lang-c lang-python semantic-segmentation

See also:

Papers:A Benchmark Dataset and Evaluation Methodology for Video Object Segmentation. - Federico Perazzi, Jordi Pont-Tuset, Brian McWilliams, Luc Van Gool, Markus Gross, Alexander Sorkine-Hornung (graphics.ethz.ch)  0 Comments

Datasets / Project-Pages / Videos:Project page for "A Benchmark Dataset and Evaluation Methodology for Video Object Segmentation. - Federico Perazzi, Jordi Pont-Tuset, Brian McWilliams, Luc Van Gool, Markus Gross, Alexander Sorkine-Hornung" (graphics.ethz.ch)  0 Comments

0 Comments,

2 points May 14

by john_phillips

1

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mjhucla/Google_Refexp_toolbox: The toolbox for the Google Refexp dataset proposed in this paper: http://arxiv.org/abs/1511.02283

[10 commits @ 5 months - 5 months ago](github.com)

annotation conference-cvpr-2016 cvpr-image-captioning-and-question-answering domain-image

See also:

Papers:Generation and Comprehension of Unambiguous Object Descriptions. - Junhua Mao, Jonathan Huang, Alexander Toshev, Oana Camburu, Alan L. Yuille, Kevin Murphy (arxiv.org)  0 Comments

0 Comments,

2 points May 14

by john_phillips

1

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rkwitt/TrajectoryTransfer: Code for "One-Shot Learning of Scene Locations via Feature Trajectory Transfer. - Roland Kwitt, Sebastian Hegenbart, Marc Niethammer"

[2 commits @ 35 days - 35 days ago](github.com)

conference-cvpr-2016 cvpr-language-and-vision domain-image

0 Comments,

2 points May 14

by nyExpo

1

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yuhuayc/alignhier: Code for "Scale-Aware Alignment of Hierarchical Image Segmentation. - Yuhua Chen, Dengxin Dai, Jordi Pont-Tuset, Luc Van Gool"

[2 commits @ 34 days - 34 days ago](github.com)

conference-cvpr-2016 cvpr-image-segmentation domain-image semantic-segmentation

See also:

Papers:Scale-Aware Alignment of Hierarchical Image Segmentation. - Yuhua Chen, Dengxin Dai, Jordi Pont-Tuset, Luc Van Gool (vision.ee.ethz.ch)  0 Comments

0 Comments,

2 points May 14

by nyExpo

1

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Code / Project-Pages:Project page for "Deep Compositional Captioning: Describing Novel Object Categories Without Paired Training Data. - Lisa Anne Hendricks, Subhashini Venugopalan, Marcus Rohrbach, Raymond Mooney, Kate Saenko, Trevor Darrell"

(eecs.berkeley.edu)

conference-cvpr-2016 cvpr-image-captioning-and-question-answering domain-image image-captioning

See also:

Papers:Deep Compositional Captioning: Describing Novel Object Categories Without Paired Training Data. - Lisa Anne Hendricks, Subhashini Venugopalan, Marcus Rohrbach, Raymond Mooney, Kate Saenko, Trevor Darrell (arxiv.org)  0 Comments

0 Comments,

2 points May 14

by john_phillips

1

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gylee1103/SaliencyELD: Source code for Deep Saliency with Encoded Low Level Distance Map and High Level Features, CVPR 2016.

(github.com)

conference-cvpr-2016 cvpr-segmentation-and-saliency domain-image lang-c

See also:

Papers:Deep Saliency With Encoded Low Level Distance Map and High Level Features. - Gayoung Lee, Yu-Wing Tai, Junmo Kim (arxiv.org)  0 Comments

0 Comments,

2 points May 14

by dmps

1

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shamangary/ASV: Code for "Accumulated Stability Voting: A Robust Descriptor From Descriptors of Multiple Scales. - Tsun-Yi Yang, Yen-Yu Lin, Yung-Yu Chuang" Accumulated Stability Voting

[5 commits @ 40 days - 23 days ago](github.com)

conference-cvpr-2016 cvpr-feature-extraction-and-matching domain-image

See also:

Papers:Accumulated Stability Voting: A Robust Descriptor From Descriptors of Multiple Scales. - Tsun-Yi Yang, Yen-Yu Lin, Yung-Yu Chuang (drive.google.com)  0 Comments

0 Comments,

2 points May 14

by AlanNLP

1

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zeakey/DeepSkeleton: code for cvpr2016 paper "Object Skeleton Extraction in Natural Images by Fusing Scale-associated Deep Side Outputs"

[10 commits @ 5 months - 36 days ago](github.com)

conference-cvpr-2016 cvpr-edge-contour-detection domain-image lang-matlab lang-python

See also:

Papers:Object Skeleton Extraction in Natural Images by Fusing Scale-Associated Deep Side Outputs. - Wei Shen, Kai Zhao, Yuan Jiang, Yan Wang, Zhijiang Zhang, Xiang Bai (arxiv.org)  0 Comments

Project-Pages:Project page for "Object Skeleton Extraction in Natural Images by Fusing Scale-Associated Deep Side Outputs. - Wei Shen, Kai Zhao, Yuan Jiang, Yan Wang, Zhijiang Zhang, Xiang Bai" (zhaok.xyz)  0 Comments

0 Comments,

2 points May 14

by nyExpo

1

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imatge-upc/retrieval-2016-deepvision: Faster R-CNN features for Instance Search

[21 commits @ 6 days - 52 hours ago](github.com)

conference-cvpr-2016 information-retrieval lang-python semantic-similarity-natural-language-inference visual-instance-retrieval

See also:

Papers:Faster R-CNN Features for Instance Search - Amaia Salvador, Xavier Giro-i-Nieto, Ferran Marques, Shin'ichi Satoh (arxiv.org)  0 Comments

0 Comments,

5 points May 8

by dmps

1

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ronghanghu/natural-language-object-retrieval: Code release for Hu et al. Natural Language Object Retrieval, in CVPR, 2016 http://ronghanghu.com/text_obj_retrieval/

(github.com)

caffe conference-cvpr-2016 domain-image lang-python visual-qa

See also:

Project-Pages:Project page for "Natural Language Object Retrieval - Ronghang Hu, Huazhe Xu, Marcus Rohrbach, Jiashi Feng, Kate Saenko, Trevor Darrell" (ronghanghu.com)  0 Comments

Papers:Natural Language Object Retrieval - Ronghang Hu, Huazhe Xu, Marcus Rohrbach, Jiashi Feng, Kate Saenko, Trevor Darrell (arxiv.org)  0 Comments

0 Comments,

4 points April 23

by nyExpo

1

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rksltnl/Deep-Metric-Learning-CVPR16: Main repository for Deep Metric Learning via Lifted Structured Feature Embedding

[24 commits @ 19 days - 77 hours ago](github.com)

conference-cvpr-2016 domain-image lang-c lang-matlab semantic-similarity-natural-language-inference

0 Comments,

2 points March 30

by john_phillips

1

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imatge-upc/saliency-2016-cvpr: Shallow and Deep Convolutional Networks for Saliency Prediction https://imatge.upc.edu/web/publications/shallow-and-deep-convolutional-networks-saliency-prediction

[36 commits @ 8 months - 40 hours ago](github.com)

attention conference-cvpr-2016 cvpr-scene-understanding domain-image lang-python

See also:

Papers:Shallow and Deep Convolutional Networks for Saliency Prediction. - Junting Pan, Elisa Sayrol, Xavier Giro-i-Nieto, Kevin McGuinness, Noel E. O'Connor (arxiv.org)  0 Comments

Project-Pages:Project page for "Shallow and Deep Convolutional Networks for Saliency Prediction. - Junting Pan, Elisa Sayrol, Xavier Giro-i-Nieto, Kevin McGuinness, Noel E. O'Connor" (imatge.upc.edu)  0 Comments

0 Comments,

2 points March 4

by dmps

1

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HyeonwooNoh/DPPnet: DPPnet: Image Question Answering using Convolutional Neural Network with Dynamic Parameter Prediction

[2 commits @ 90 hours - 90 hours ago](github.com)

caffe conference-cvpr-2016 cvpr-image-captioning-and-question-answering domain-image seq2seq torch7 visual-qa

See also:

Papers:Image Question Answering Using Convolutional Neural Network With Dynamic Parameter Prediction. - Hyeonwoo Noh, Paul Hongsuck Seo, Bohyung Han (arxiv.org)  0 Comments

Project-Pages:Project page for "Image Question Answering Using Convolutional Neural Network With Dynamic Parameter Prediction. - Hyeonwoo Noh, Paul Hongsuck Seo, Bohyung Han" (cvlab.postech.ac.kr)  0 Comments

0 Comments,

3 points January 21

by dmps