Papers
DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion
Chen Wang, Danfei Xu, Yuke Zhu et al.
Learning With Batch-Wise Optimal Transport Loss for 3D Shape Recognition
Lin Xu, Han Sun, Yuai Liu
Modeling Point Clouds With Self-Attention and Gumbel Subset Sampling
Jiancheng Yang, Qiang Zhang, Bingbing Ni et al.
DeepLiDAR: Deep Surface Normal Guided Depth Prediction for Outdoor Scene From Sparse LiDAR Data and Single Color Image
Jiaxiong Qiu, Zhaopeng Cui, Yinda Zhang et al.
Understanding the Limitations of CNN-Based Absolute Camera Pose Regression
Torsten Sattler, Qunjie Zhou, Marc Pollefeys et al.
Large-Scale, Metric Structure From Motion for Unordered Light Fields
Sotiris Nousias, Manolis Lourakis, Christos Bergeles
Multi-Level Context Ultra-Aggregation for Stereo Matching
Guang-Yu Nie, Ming-Ming Cheng, Yun Liu et al.
Group-Wise Correlation Stereo Network
Xiaoyang Guo, Kai Yang, Wukui Yang et al.
GPSfM: Global Projective SFM Using Algebraic Constraints on Multi-View Fundamental Matrices
Yoni Kasten, Amnon Geifman, Meirav Galun et al.
HPLFlowNet: Hierarchical Permutohedral Lattice FlowNet for Scene Flow Estimation on Large-Scale Point Clouds
Xiuye Gu, Yijie Wang, Chongruo Wu et al.
3D Local Features for Direct Pairwise Registration
Haowen Deng, Tolga Birdal, Slobodan Ilic
VERI-Wild: A Large Dataset and a New Method for Vehicle Re-Identification in the Wild
Yihang Lou, Yan Bai, Jun Liu et al.
ADCrowdNet: An Attention-Injective Deformable Convolutional Network for Crowd Understanding
Ning Liu, Yongchao Long, Changqing Zou et al.
Spectral Metric for Dataset Complexity Assessment
Frederic Branchaud-Charron, Andrew Achkar, Pierre-Marc Jodoin
NDDR-CNN: Layerwise Feature Fusing in Multi-Task CNNs by Neural Discriminative Dimensionality Reduction
Yuan Gao, Jiayi Ma, Mingbo Zhao et al.
OK-VQA: A Visual Question Answering Benchmark Requiring External Knowledge
Kenneth Marino, Mohammad Rastegari, Ali Farhadi et al.
Assessment of Faster R-CNN in Man-Machine Collaborative Search
Arturo Deza, Amit Surana, Miguel P. Eckstein
Unifying Heterogeneous Classifiers With Distillation
Jayakorn Vongkulbhisal, Phongtharin Vinayavekhin, Marco Visentini-Scarzanella
A Variational Auto-Encoder Model for Stochastic Point Processes
Nazanin Mehrasa, Akash Abdu Jyothi, Thibaut Durand et al.
InverseRenderNet: Learning Single Image Inverse Rendering
Ye Yu, William A. P. Smith
Dual Attention Network for Scene Segmentation
Jun Fu, Jing Liu, Haijie Tian et al.
Box-Driven Class-Wise Region Masking and Filling Rate Guided Loss for Weakly Supervised Semantic Segmentation
Chunfeng Song, Yan Huang, Wanli Ouyang et al.
Decoders Matter for Semantic Segmentation: Data-Dependent Decoding Enables Flexible Feature Aggregation
Zhi Tian, Tong He, Chunhua Shen et al.
Learning Instance Activation Maps for Weakly Supervised Instance Segmentation
Yi Zhu, Yanzhao Zhou, Huijuan Xu et al.
SAIL-VOS: Semantic Amodal Instance Level Video Object Segmentation - A Synthetic Dataset and Baselines
Yuan-Ting Hu, Hong-Shuo Chen, Kexin Hui et al.