CVPR 2020-2013.md

May 5, 2020 · View on GitHub

CVPR 2020

  1. BlendMask: top-down meets bottom-up for instance segmentation, Hao Chen, Kunyang Sun, Zhi Tian, Chunhua Shen, Yongming Huang, Youliang Yan, [pdf] [bibtex]
  2. ABCNet: Real-time Scene Text Spotting with Adaptive Bezier-Curve Network, Yuliang Liu, Hao Chen, Chunhua Shen, Tong He, Lianwen Jin, Liangwei Wang, [pdf] [bibtex]
  3. Self-trained deep ordinal regression for end-to-end video anomaly detection, Guansong Pang, Cheng Yan, Chunhua Shen, Anton van den Hengel, Xiao Bai, [pdf] [bibtex]
  4. REVERIE: remote embodied visual referring expression in real indoor environments, Yuankai Qi, Qi Wu, Peter Anderson, Xin Wang, William Yang Wang, Chunhua Shen, Anton van den Hengel, [pdf] [bibtex]
  5. NAS-FCOS: fast neural architecture search for object detection, Ning Wang, Yang Gao, Hao Chen, Peng Wang, Zhi Tian, Chunhua Shen, Yanning Zhang, [pdf] [bibtex]
  6. On the general value of evidence, and bilingual scene-text visual question answering, Xinyu Wang, Yuliang Liu, Chunhua Shen, Chun Chet Ng, Canjie Luo, Lianwen Jin, Chess Seng Chan, Anton van den Hengel, Liangwei Wang, [pdf] [bibtex]
  7. PolarMask: single shot instance segmentation with polar representation, Enze Xie, Peize Sun, Xiaoge Song, Wenhai Wang, Ding Liang, Chunhua Shen, Ping Luo, [pdf] [bibtex]
  8. Context prior for scene segmentation, Changqian Yu, Jingbo Wang, Changxin Gao, Gang Yu, Chunhua Shen, Nong Sang, [pdf] [bibtex]
  9. DeepEMD: few-shot image classification with differentiable earth mover's distance and structured classifiers, Chi Zhang, Yujun Cai, Guosheng Lin, Chunhua Shen, [pdf] [bibtex]
  10. Memory-efficient hierarchical neural architecture search for image denoising, Haokui Zhang, Yang Li, Hao Chen, Chunhua Shen, [pdf] [bibtex]
  11. Mask encoding for single shot instance segmentation, Rufeng Zhang, Zhi Tian, Chunhua Shen, Mingyu You, Youliang Yan, [pdf] [bibtex]
  12. Training quantized neural networks with the full-precision auxiliary module, Bohan Zhuang, Lingqiao Liu, Mingkui Tan, Chunhua Shen, Ian Reid, [pdf], [bibtex]
  13. Globally Optimal Contrast Maximisation for Event-based Motion Estimation, Daqi Liu, Álvaro Parra, Tat-Jun Chin, [pdf] [bibtex]
  14. End-to-End Learnable Geometric Vision by Backpropagating PnP Optimization, Bo Chen, Alvaro Parra, Jiewei Cao, Nan Li, Tat-Jun Chin, [pdf], [bibtex]
  15. Cops-Ref: A new Dataset and Task on Compositional Referring Expression Comprehension, Zhenfang Chen, Peng Wang, Lin Ma, Kwan-Yee K. Wong, Qi Wu, [pdf], [bibtex]
  16. Intelligent Home 3D: Automatic 3D-House Design from Linguistic Descriptions Only, Qi Chen, Qi Wu, Rui Tang, Yuhan Wang, Shuai Wang, Mingkui Tan, [pdf], [bibtex]
  17. Fine-grained Video-Text Retrieval with Hierarchical Graph Reasoning, Shizhe Chen, Yida Zhao, Qin Jin, Qi Wu, [pdf], [bibtex]
  18. Say As You Wish: Fine-grained Control of Image Caption Generation with Abstract Scene Graphs, Shizhe Chen, Qin Jin, Peng Wang, Qi Wu, [pdf], [bibtex]
  19. Gold Seeker: Information Gain from Policy Distributions for Goal-oriented Vision-and-Langauge Reasoning, Ehsan Abbasnejad, Qi Wu, Iman Abbasnejad, Javen Shi, Anton van den Hengel, [pdf]

CVPR 2019

  1. Attention-Guided Network for Ghost-Free High Dynamic Range Imaging, Qingsen Yan,Dong Gong,Qinfeng Shi,Anton van den Hengel,Chunhua Shen,Ian Reid,Yanning Zhang, [pdf] [bibtex]

  2. Actively Seeking and Learning From Live Data, Damien Teney,Anton van den Hengel, [pdf] [supp] [bibtex]

  3. Neighbourhood Watch: Referring Expression Comprehension via Language-Guided Graph Attention Networks, Peng Wang,Qi Wu,Jiewei Cao,Chunhua Shen,Lianli Gao,Anton van den Hengel, [pdf] [bibtex]

  4. What's to Know? Uncertainty as a Guide to Asking Goal-Oriented Questions, Ehsan Abbasnejad,Qi Wu,Qinfeng Shi,Anton van den Hengel, [pdf] [bibtex]

  5. Visual Question Answering as Reading Comprehension, Hui Li,Peng Wang,Chunhua Shen,Anton van den Hengel, [pdf] [bibtex]

  6. A Generative Adversarial Density Estimator, M. Ehsan Abbasnejad,Qinfeng Shi,Anton van den Hengel,Lingqiao Liu, [pdf] [bibtex]

  7. A Theoretically Sound Upper Bound on the Triplet Loss for Improving the Efficiency of Deep Distance Metric Learning, Thanh-Toan Do,Toan Tran,Ian Reid,Vijay Kumar,Tuan Hoang,Gustavo Carneiro, [pdf] [bibtex]

  8. Variational Bayesian Dropout With a Hierarchical Prior, Yuhang Liu,Wenyong Dong,Lei Zhang,Dong Gong,Qinfeng Shi, [pdf] [supp] [bibtex]

  9. RGBD Based Dimensional Decomposition Residual Network for 3D Semantic Scene Completion, Jie Li,Yu Liu,Dong Gong,Qinfeng Shi,Xia Yuan,Chunxia Zhao,Ian Reid, [pdf] [supp] [bibtex]

  10. TopNet: Structural Point Cloud Decoder, Lyne P. Tchapmi,Vineet Kosaraju,Hamid Rezatofighi,Ian Reid,Silvio Savarese, [pdf] [supp] [bibtex]

  11. Structured Binary Neural Networks for Accurate Image Classification and Semantic Segmentation, Bohan Zhuang,Chunhua Shen,Mingkui Tan,Lingqiao Liu,Ian Reid, [pdf] [supp] [bibtex]

  12. Generalized Intersection Over Union: A Metric and a Loss for Bounding Box Regression, Hamid Rezatofighi,Nathan Tsoi,JunYoung Gwak,Amir Sadeghian,Ian Reid,Silvio Savarese, [pdf] [supp] [bibtex]

  13. Fast Neural Architecture Search of Compact Semantic Segmentation Models via Auxiliary Cells, Vladimir Nekrasov,Hao Chen,Chunhua Shen,Ian Reid, [pdf] [supp] [bibtex]

  14. Knowledge Adaptation for Efficient Semantic Segmentation, Tong He,Chunhua Shen,Zhi Tian,Dong Gong,Changming Sun,Youliang Yan, [pdf] [bibtex]

  15. Mind Your Neighbours: Image Annotation With Metadata Neighbourhood Graph Co-Attention Networks, Junjie Zhang,Qi Wu,Jian Zhang,Chunhua Shen,Jianfeng Lu, [pdf] [bibtex]

  16. Decoders Matter for Semantic Segmentation: Data-Dependent Decoding Enables Flexible Feature Aggregation, Zhi Tian,Tong He,Chunhua Shen,Youliang Yan, [pdf] [bibtex]

  17. Associatively Segmenting Instances and Semantics in Point Clouds, Xinlong Wang,Shu Liu,Xiaoyong Shen,Chunhua Shen,Jiaya Jia, [pdf] [bibtex]

  18. CANet: Class-Agnostic Segmentation Networks With Iterative Refinement and Attentive Few-Shot Learning, Chi Zhang,Guosheng Lin,Fayao Liu,Rui Yao,Chunhua Shen, [pdf] [bibtex]

  19. Structured Knowledge Distillation for Semantic Segmentation Yifan Liu, Ke Chen, Chris Liu, Zengchang Qin, Zhenbo Luo, Jingdong Wang [pdf] [bibtex]

CVPR 2018

  1. Vision-and-Language Navigation: Interpreting Visually-Grounded Navigation Instructions in Real Environments, Peter Anderson,Qi Wu,Damien Teney,Jake Bruce,Mark Johnson,Niko Sünderhauf,Ian Reid,Stephen Gould,Anton van den Hengel, [pdf] [Supp] [arXiv] [bibtex]

  2. Tips and Tricks for Visual Question Answering: Learnings From the 2017 Challenge, Damien Teney,Peter Anderson,Xiaodong He,Anton van den Hengel, [pdf] [Supp] [arXiv] [bibtex]

  3. Parallel Attention: A Unified Framework for Visual Object Discovery Through Dialogs and Queries, Bohan Zhuang,Qi Wu,Chunhua Shen,Ian Reid,Anton van den Hengel, [pdf] [arXiv] [bibtex]

  4. Are You Talking to Me? Reasoned Visual Dialog Generation Through Adversarial Learning, Qi Wu,Peng Wang,Chunhua Shen,Ian Reid,Anton van den Hengel, [pdf] [Supp] [bibtex]

  5. Visual Question Answering With Memory-Augmented Networks, Chao Ma,Chunhua Shen,Anthony Dick,Qi Wu,Peng Wang,Anton van den Hengel,Ian Reid, [pdf] [arXiv] [bibtex]

  6. Unsupervised Learning of Monocular Depth Estimation and Visual Odometry With Deep Feature Reconstruction, Huangying Zhan,Ravi Garg,Chamara Saroj Weerasekera,Kejie Li,Harsh Agarwal,Ian Reid, [pdf] [Supp] [arXiv] [bibtex]

  7. Bootstrapping the Performance of Webly Supervised Semantic Segmentation, Tong Shen,Guosheng Lin,Chunhua Shen,Ian Reid, [pdf] [bibtex]

  8. Towards Effective Low-Bitwidth Convolutional Neural Networks, Bohan Zhuang,Chunhua Shen,Mingkui Tan,Lingqiao Liu,Ian Reid, [pdf] [arXiv] [bibtex]

  9. Monocular Relative Depth Perception With Web Stereo Data Supervision, Ke Xian,Chunhua Shen,Zhiguo Cao,Hao Lu,Yang Xiao,Ruibo Li,Zhenbo Luo, [pdf] [bibtex]

  10. FSRNet: End-to-End Learning Face Super-Resolution With Facial Priors, Yu Chen,Ying Tai,Xiaoming Liu,Chunhua Shen,Jian Yang, [pdf] [arXiv] [bibtex]

  11. An End-to-End TextSpotter With Explicit Alignment and Attention, Tong He,Zhi Tian,Weilin Huang,Chunhua Shen,Yu Qiao,Changming Sun, [pdf] [arXiv] [bibtex]

  12. Repulsion Loss: Detecting Pedestrians in a Crowd, Xinlong Wang,Tete Xiao,Yuning Jiang,Shuai Shao,Jian Sun,Chunhua Shen, [pdf] [Supp] [arXiv] [bibtex]

  13. VITAL: VIsual Tracking via Adversarial Learning, Yibing Song,Chao Ma,Xiaohe Wu,Lijun Gong,Linchao Bao,Wangmeng Zuo,Chunhua Shen,Rynson W.H. Lau,Ming-Hsuan Yang, [pdf] [arXiv] [bibtex]

  14. Rotation Averaging and Strong Duality, Anders Eriksson,Carl Olsson,Fredrik Kahl,Tat-Jun Chin, [pdf] [Supp] [arXiv] [bibtex]

  15. A Fast Resection-Intersection Method for the Known Rotation Problem, Qianggong Zhang,Tat-Jun Chin,Huu Minh Le, [pdf] [Supp] [bibtex]

CVPR 2017

  1. Graph-Structured Representations for Visual Question Answering, Damien Teney,Lingqiao Liu,Anton van den Hengel, [pdf] [Supp] [arXiv] [poster] [video] [bibtex]

  2. The VQA-Machine: Learning How to Use Existing Vision Algorithms to Answer New Questions, Peng Wang,Qi Wu,Chunhua Shen,Anton van den Hengel, [pdf] [bibtex]

  3. Sequential Person Recognition in Photo Albums With a Recurrent Network, Yao Li,Guosheng Lin,Bohan Zhuang,Lingqiao Liu,Chunhua Shen,Anton van den Hengel, [pdf] [arXiv] [bibtex]

  4. RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation, Guosheng Lin,Anton Milan,Chunhua Shen,Ian Reid, [pdf] [arXiv] [bibtex]

  5. From Motion Blur to Motion Flow: A Deep Learning Solution for Removing Heterogeneous Motion Blur, Dong Gong,Jie Yang,Lingqiao Liu,Yanning Zhang,Ian Reid,Chunhua Shen,Anton van den Hengel,Qinfeng Shi, [pdf] [arXiv] [poster] [bibtex]

  6. Multi-Attention Network for One Shot Learning, Peng Wang,Lingqiao Liu,Chunhua Shen,Zi Huang,Anton van den Hengel,Heng Tao Shen, [pdf] [bibtex]

  7. Infinite Variational Autoencoder for Semi-Supervised Learning, M. Ehsan Abbasnejad,Anthony Dick,Anton van den Hengel, [pdf] [Supp] [arXiv] [bibtex]

  8. Attend in Groups: A Weakly-Supervised Deep Learning Framework for Learning From Web Data, Bohan Zhuang,Lingqiao Liu,Yao Li,Chunhua Shen,Ian Reid, [pdf] [arXiv] [bibtex]

  9. An Exact Penalty Method for Locally Convergent Maximum Consensus, Huu Le,Tat-Jun Chin,David Suter, [pdf] [poster] [bibtex]

CVPR 2016

  1. Joint Probabilistic Matching Using m-Best Solutions, Seyed Hamid Rezatofighi,Anton Milan,Zhen Zhang,Qinfeng Shi,Anthony Dick,Ian Reid, [pdf] [Supp] [slides] [bibtex]

  2. What Value Do Explicit High Level Concepts Have in Vision to Language Problems?, Qi Wu,Chunhua Shen,Lingqiao Liu,Anthony Dick,Anton van den Hengel, [pdf] [Supp] [bibtex]

  3. Pairwise Matching Through Max-Weight Bipartite Belief Propagation, Zhen Zhang,Qinfeng Shi,Julian McAuley,Wei Wei,Yanning Zhang,Anton van den Hengel, [pdf] [Supp] [bibtex]

  4. What's Wrong With That Object? Identifying Images of Unusual Objects by Modelling the Detection Score Distribution, Peng Wang,Lingqiao Liu,Chunhua Shen,Zi Huang,Anton van den Hengel,Heng Tao Shen, [pdf] [slides] [bibtex]

  5. Blind Image Deconvolution by Automatic Gradient Activation, Dong Gong,Mingkui Tan,Yanning Zhang,Anton van den Hengel,Qinfeng Shi, [pdf] [bibtex]

  6. Less Is More: Zero-Shot Learning From Online Textual Documents With Noise Suppression, Ruizhi Qiao,Lingqiao Liu,Chunhua Shen,Anton van den Hengel, [pdf] [bibtex]

  7. Efficient Piecewise Training of Deep Structured Models for Semantic Segmentation, Guosheng Lin,Chunhua Shen,Anton van den Hengel,Ian Reid, [pdf] [slides] [bibtex]

  8. Ask Me Anything: Free-Form Visual Question Answering Based on Knowledge From External Sources, Qi Wu,Peng Wang,Chunhua Shen,Anthony Dick,Anton van den Hengel, [pdf] [Supp] [slides] [bibtex]

  9. Proximal Riemannian Pursuit for Large-Scale Trace-Norm Minimization, Mingkui Tan,Shijie Xiao,Junbin Gao,Dong Xu,Anton van den Hengel,Qinfeng Shi, [pdf] [Supp] [bibtex]

  10. Learning Local Image Descriptors With Deep Siamese and Triplet Convolutional Networks by Minimising Global Loss Functions, Vijay Kumar B G,Gustavo Carneiro,Ian Reid, [pdf] [Supp] [bibtex]

  11. Efficient Point Process Inference for Large-Scale Object Detection, Trung T. Pham,Seyed Hamid Rezatofighi,Ian Reid,Tat-Jun Chin, [pdf] [Supp] [bibtex]

  12. Fast Training of Triplet-Based Deep Binary Embedding Networks, Bohan Zhuang,Guosheng Lin,Chunhua Shen,Ian Reid, [pdf] [bibtex]

  13. A Consensus-Based Framework for Distributed Bundle Adjustment, Anders Eriksson,John Bastian,Tat-Jun Chin,Mats Isaksson, [pdf] [Supp] [bibtex]

  14. Conformal Surface Alignment With Optimal Mobius Search, Huu Le,Tat-Jun Chin,David Suter, [pdf] [Supp] [bibtex]

  15. Guaranteed Outlier Removal With Mixed Integer Linear Programs, Tat-Jun Chin,Yang Heng Kee,Anders Eriksson,Frank Neumann, [pdf] [Supp] [bibtex]

CVPR 2015

  1. Part-Based Modelling of Compound Scenes From Images, Anton van den Hengel,Chris Russell,Anthony Dick,John Bastian,Daniel Pooley,Lachlan Fleming,Lourdes Agapito, [pdf] [slides] [bibtex]

  2. Mid-Level Deep Pattern Mining, Yao Li,Lingqiao Liu,Chunhua Shen,Anton van den Hengel, [pdf] [bibtex]

  3. Depth and Surface Normal Estimation From Monocular Images Using Regression on Deep Features and Hierarchical CRFs, Bo Li,Chunhua Shen,Yuchao Dai,Anton van den Hengel,Mingyi He, [pdf] [bibtex]

  4. Learning to Rank in Person Re-Identification With Metric Ensembles, Sakrapee Paisitkriangkrai,Chunhua Shen,Anton van den Hengel, [pdf] [bibtex]

  5. Robust Multiple Homography Estimation: An Ill-Solved Problem, Zygmunt L. Szpak,Wojciech Chojnacki,Anton van den Hengel, [pdf] [bibtex]

  6. Efficient SDP Inference for Fully-Connected CRFs Based on Low-Rank Decomposition, Peng Wang,Chunhua Shen,Anton van den Hengel, [pdf] [bibtex]

  7. Learning Graph Structure for Multi-Label Image Classification via Clique Generation, Mingkui Tan,Qinfeng Shi,Anton van den Hengel,Chunhua Shen,Junbin Gao,Fuyuan Hu,Zhen Zhang, [pdf] [Supp] [bibtex]

  8. The Treasure Beneath Convolutional Layers: Cross-Convolutional-Layer Pooling for Image Classification, Lingqiao Liu,Chunhua Shen,Anton van den Hengel, [pdf] [bibtex]

  9. Joint Tracking and Segmentation of Multiple Targets, Anton Milan,Laura Leal-Taixe,Konrad Schindler,Ian Reid, [pdf] [Supp] [bibtex]

  10. The k-Support Norm and Convex Envelopes of Cardinality and Rank, Anders Eriksson,Trung Thanh Pham,Tat-Jun Chin,Ian Reid, [pdf] [bibtex]

  11. Supervised Discrete Hashing, Fumin Shen,Chunhua Shen,Wei Liu,Heng Tao Shen, [pdf] [bibtex]

  12. Deep Convolutional Neural Fields for Depth Estimation From a Single Image, Fayao Liu,Chunhua Shen,Guosheng Lin, [pdf] [bibtex]

  13. Efficient Globally Optimal Consensus Maximisation With Tree Search, Tat-Jun Chin,Pulak Purkait,Anders Eriksson,David Suter, [pdf] [slides] [bibtex]

CVPR 2014

  1. Fast Supervised Hashing with Decision Trees for High-Dimensional Data, Guosheng Lin,Chunhua Shen,Qinfeng Shi,Anton van den Hengel,David Suter, [pdf] [bibtex]

  2. Non-rigid Segmentation using Sparse Low Dimensional Manifolds and Deep Belief Networks, Jacinto C. Nascimento,Gustavo Carneiro, [pdf] [bibtex]

  3. Fully Automated Non-rigid Segmentation with Distance Regularized Level Set Evolution Initialized and Constrained by Deep-structured Inference, Tuan Anh Ngo,Gustavo Carneiro, [pdf] [bibtex]

  4. Fast Rotation Search with Stereographic Projections for 3D Registration, Alvaro Parra Bustos,Tat-Jun Chin,David Suter, [pdf] [bibtex]

CVPR 2013

  1. Bilinear Programming for Human Activity Recognition with Unknown MRF Graphs, Zhenhua Wang,Qinfeng Shi,Chunhua Shen,Anton van den Hengel, [pdf] [bibtex]

  2. Inductive Hashing on Manifolds, Fumin Shen,Chunhua Shen,Qinfeng Shi,Anton van den Hengel,Zhenmin Tang, [pdf] [bibtex]

  3. Learning Compact Binary Codes for Visual Tracking, Xi Li,Chunhua Shen,Anthony Dick,Anton van den Hengel, [pdf] [bibtex]

  4. Part-Based Visual Tracking with Online Latent Structural Learning, Rui Yao,Qinfeng Shi,Chunhua Shen,Yanning Zhang,Anton van den Hengel, [pdf] [bibtex]

  5. A Fast Semidefinite Approach to Solving Binary Quadratic Problems, Peng Wang,Chunhua Shen,Anton van den Hengel, [pdf] [bibtex]

  6. Top-Down Segmentation of Non-rigid Visual Objects Using Derivative-Based Search on Sparse Manifolds, Jacinto C. Nascimento,Gustavo Carneiro, [pdf] [bibtex]

  7. Dense Reconstruction Using 3D Object Shape Priors, Amaury Dame,Victor A. Prisacariu,Carl Y. Ren,Ian Reid, [pdf] [bibtex]

  8. Discriminative Brain Effective Connectivity Analysis for Alzheimer's Disease: A Kernel Learning Approach upon Sparse Gaussian Bayesian Network, Luping Zhou,Lei Wang,Lingqiao Liu,Philip Ogunbona,Dinggang Shen, [pdf] [bibtex]

  9. As-Projective-As-Possible Image Stitching with Moving DLT, Julio Zaragoza,Tat-Jun Chin,Michael S. Brown,David Suter, [pdf] [bibtex]