Papers
Fast and Furious: Real Time End-to-End 3D Detection, Tracking and Motion Forecasting With a Single Convolutional Net
Wenjie Luo, Bin Yang, Raquel Urtasun
3D-RCNN: Instance-Level 3D Object Reconstruction via Render-and-Compare
Abhijit Kundu, Yin Li, James M. Rehg
Visual to Sound: Generating Natural Sound for Videos in the Wild
Yipin Zhou, Zhaowen Wang, Chen Fang et al.
Facelet-Bank for Fast Portrait Manipulation
Ying-Cong Chen, Huaijia Lin, Michelle Shu et al.
A Minimalist Approach to Type-Agnostic Detection of Quadrics in Point Clouds
Tolga Birdal, Benjamin Busam, Nassir Navab et al.
Anticipating Traffic Accidents With Adaptive Loss and Large-Scale Incident DB
Tomoyuki Suzuki, Hirokatsu Kataoka, Yoshimitsu Aoki et al.
Sparse, Smart Contours to Represent and Edit Images
Tali Dekel, Chuang Gan, Dilip Krishnan et al.
Cross-View Image Synthesis Using Conditional GANs
Krishna Regmi, Ali Borji
Learning Time/Memory-Efficient Deep Architectures With Budgeted Super Networks
Tom Véniat, Ludovic Denoyer
Generative Modeling Using the Sliced Wasserstein Distance
Ishan Deshpande, Ziyu Zhang, Alexander G. Schwing
Robust Classification With Convolutional Prototype Learning
Hong-Ming Yang, Xu-Yao Zhang, Fei Yin et al.
Multi-Task Learning by Maximizing Statistical Dependence
Youssef A. Mejjati, Darren Cosker, Kwang In Kim
Local and Global Optimization Techniques in Graph-Based Clustering
Daiki Ikami, Toshihiko Yamasaki, Kiyoharu Aizawa
CLEAR: Cumulative LEARning for One-Shot One-Class Image Recognition
Jedrzej Kozerawski, Matthew Turk
Aligning Infinite-Dimensional Covariance Matrices in Reproducing Kernel Hilbert Spaces for Domain Adaptation
Zhen Zhang, Mianzhi Wang, Yan Huang et al.
Sliced Wasserstein Distance for Learning Gaussian Mixture Models
Soheil Kolouri, Gustavo K. Rohde, Heiko Hoffmann
Hierarchical Recurrent Attention Networks for Structured Online Maps
Namdar Homayounfar, Wei-Chiu Ma, Shrinidhi Kowshika Lakshmikanth et al.
Deformable GANs for Pose-Based Human Image Generation
Aliaksandr Siarohin, Enver Sangineto, Stéphane Lathuilière et al.
Disentangling Factors of Variation by Mixing Them
Qiyang Hu, Attila Szabó, Tiziano Portenier et al.
Defense Against Universal Adversarial Perturbations
Naveed Akhtar, Jian Liu, Ajmal Mian
Adversarially Learned One-Class Classifier for Novelty Detection
Mohammad Sabokrou, Mohammad Khalooei, Mahmood Fathy et al.
Lightweight Probabilistic Deep Networks
Jochen Gast, Stefan Roth
Joint Pose and Expression Modeling for Facial Expression Recognition
Feifei Zhang, Tianzhu Zhang, Qirong Mao et al.
Low-Shot Learning With Large-Scale Diffusion
Matthijs Douze, Arthur Szlam, Bharath Hariharan et al.
Domain Adaptive Faster R-CNN for Object Detection in the Wild
Yuhua Chen, Wen Li, Christos Sakaridis et al.