Papers
Adversarial Semantic Alignment for Improved Image Captions
Pierre Dognin, Igor Melnyk, Youssef Mroueh et al.
Inverse Cooking: Recipe Generation From Food Images
Amaia Salvador, Michal Drozdzal, Xavier Giro-i-Nieto et al.
Not All Frames Are Equal: Weakly-Supervised Video Grounding With Contextual Similarity and Visual Clustering Losses
Jing Shi, Jia Xu, Boqing Gong et al.
Image-Question-Answer Synergistic Network for Visual Dialog
Dalu Guo, Chang Xu, Dacheng Tao
Video Relationship Reasoning Using Gated Spatio-Temporal Energy Graph
Yao-Hung Hubert Tsai, Santosh Divvala, Louis-Philippe Morency et al.
Data Representation and Learning With Graph Diffusion-Embedding Networks
Bo Jiang, Doudou Lin, Jin Tang et al.
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 et al.
Deep Supervised Cross-Modal Retrieval
Liangli Zhen, Peng Hu, Xu Wang et al.
Improved Road Connectivity by Joint Learning of Orientation and Segmentation
Anil Batra, Suriya Singh, Guan Pang et al.
Weakly Supervised Deep Image Hashing Through Tag Embeddings
Vijetha Gattupalli, Yaoxin Zhuo, Baoxin Li
Self-Supervised Representation Learning by Rotation Feature Decoupling
Zeyu Feng, Chang Xu, Dacheng Tao
Unsupervised Disentangling of Appearance and Geometry by Deformable Generator Network
Xianglei Xing, Tian Han, Ruiqi Gao et al.
Superquadrics Revisited: Learning 3D Shape Parsing Beyond Cuboids
Despoina Paschalidou, Ali Osman Ulusoy, Andreas Geiger
Self-Supervised Spatiotemporal Learning via Video Clip Order Prediction
Dejing Xu, Jun Xiao, Zhou Zhao et al.
A Parametric Top-View Representation of Complex Road Scenes
Ziyan Wang, Buyu Liu, Samuel Schulter et al.
Learning to Localize Through Compressed Binary Maps
Xinkai Wei, Ioan Andrei Barsan, Shenlong Wang et al.
Normalized Diversification
Shaohui Liu, Xiao Zhang, Jianqiao Wangni et al.
Graph Attention Convolution for Point Cloud Semantic Segmentation
Lei Wang, Yuchun Huang, Yaolin Hou et al.
Sliced Wasserstein Discrepancy for Unsupervised Domain Adaptation
Chen-Yu Lee, Tanmay Batra, Mohammad Haris Baig et al.
F-VAEGAN-D2: A Feature Generating Framework for Any-Shot Learning
Yongqin Xian, Saurabh Sharma, Bernt Schiele et al.
A Variational Pan-Sharpening With Local Gradient Constraints
Xueyang Fu, Zihuang Lin, Yue Huang et al.
Training Deep Learning Based Image Denoisers From Undersampled Measurements Without Ground Truth and Without Image Prior
Magauiya Zhussip, Shakarim Soltanayev, Se Young Chun
Speed Invariant Time Surface for Learning to Detect Corner Points With Event-Based Cameras
Jacques Manderscheid, Amos Sironi, Nicolas Bourdis et al.
Douglas-Rachford Networks: Learning Both the Image Prior and Data Fidelity Terms for Blind Image Deconvolution
Raied Aljadaany, Dipan K. Pal, Marios Savvides
Unsupervised Domain-Specific Deblurring via Disentangled Representations
Boyu Lu, Jun-Cheng Chen, Rama Chellappa