Papers
SME-Net: Sparse Motion Estimation for Parametric Video Prediction Through Reinforcement Learning
Yung-Han Ho, Chuan-Yuan Cho, Wen-Hsiao Peng et al.
P-MVSNet: Learning Patch-Wise Matching Confidence Aggregation for Multi-View Stereo
Keyang Luo, Tao Guan, Lili Ju et al.
Multi-Angle Point Cloud-VAE: Unsupervised Feature Learning for 3D Point Clouds From Multiple Angles by Joint Self-Reconstruction and Half-to-Half Prediction
Zhizhong Han, Xiyang Wang, Yu-Shen Liu et al.
Hierarchical Point-Edge Interaction Network for Point Cloud Semantic Segmentation
Li Jiang, Hengshuang Zhao, Shu Liu et al.
U4D: Unsupervised 4D Dynamic Scene Understanding
Armin Mustafa, Chris Russell, Adrian Hilton
TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo
Andrea Romanoni, Matteo Matteucci
VrR-VG: Refocusing Visually-Relevant Relationships
Yuanzhi Liang, Yalong Bai, Wei Zhang et al.
Learning to Caption Images Through a Lifetime by Asking Questions
Tingke Shen, Amlan Kar, Sanja Fidler
Joint Prediction for Kinematic Trajectories in Vehicle-Pedestrian-Mixed Scenes
Huikun Bi, Zhong Fang, Tianlu Mao et al.
Learning Similarity Conditions Without Explicit Supervision
Reuben Tan, Mariya I. Vasileva, Kate Saenko et al.
Mixture-Kernel Graph Attention Network for Situation Recognition
Mohammed Suhail, Leonid Sigal
Occlusion-Shared and Feature-Separated Network for Occlusion Relationship Reasoning
Rui Lu, Feng Xue, Menghan Zhou et al.
Modeling Inter and Intra-Class Relations in the Triplet Loss for Zero-Shot Learning
Yannick Le Cacheux, Herve Le Borgne, Michel Crucianu
Unpaired Image Captioning via Scene Graph Alignments
Jiuxiang Gu, Shafiq Joty, Jianfei Cai et al.
Relation-Aware Graph Attention Network for Visual Question Answering
Linjie Li, Zhe Gan, Yu Cheng et al.
Tell, Draw, and Repeat: Generating and Modifying Images Based on Continual Linguistic Instruction
Alaaeldin El-Nouby, Shikhar Sharma, Hannes Schulz et al.
Language-Conditioned Graph Networks for Relational Reasoning
Ronghang Hu, Anna Rohrbach, Trevor Darrell et al.
HiPPI: Higher-Order Projected Power Iterations for Scalable Multi-Matching
Florian Bernard, Johan Thunberg, Paul Swoboda et al.
A Bayesian Optimization Framework for Neural Network Compression
Xingchen Ma, Amal Rannen Triki, Maxim Berman et al.
Parametric Majorization for Data-Driven Energy Minimization Methods
Jonas Geiping, Michael Moeller
K-Best Transformation Synchronization
Yifan Sun, Jiacheng Zhuo, Arnav Mohan et al.
Pareto Meets Huber: Efficiently Avoiding Poor Minima in Robust Estimation
Christopher Zach, Guillaume Bourmaud
Convex Relaxations for Consensus and Non-Minimal Problems in 3D Vision
Thomas Probst, Danda Pani Paudel, Ajad Chhatkuli et al.
Deep Tensor ADMM-Net for Snapshot Compressive Imaging
Jiawei Ma, Xiao-Yang Liu, Zheng Shou et al.
ARGAN: Attentive Recurrent Generative Adversarial Network for Shadow Detection and Removal
Bin Ding, Chengjiang Long, Ling Zhang et al.