Papers
Weakly Supervised Energy-Based Learning for Action Segmentation
Jun Li, Peng Lei, Sinisa Todorovic
Weakly Supervised Object Detection With Segmentation Collaboration
Xiaoyan Li, Meina Kan, Shiguang Shan et al.
Weakly Supervised Temporal Action Localization Through Contrast Based Evaluation Networks
Ziyi Liu, Le Wang, Qilin Zhang et al.
What Else Can Fool Deep Learning? Addressing Color Constancy Errors on Deep Neural Network Performance
Mahmoud Afifi, Michael S. Brown
What Is Wrong With Scene Text Recognition Model Comparisons? Dataset and Model Analysis
Jeonghun Baek, Geewook Kim, Junyeop Lee et al.
What Synthesis Is Missing: Depth Adaptation Integrated With Weak Supervision for Indoor Scene Parsing
Keng-Chi Liu, Yi-Ting Shen, Jan P. Klopp et al.
What Would You Expect? Anticipating Egocentric Actions With Rolling-Unrolling LSTMs and Modality Attention
Antonino Furnari, Giovanni Maria Farinella
Where Is My Mirror?
Xin Yang, Haiyang Mei, Ke Xu et al.
Why Does a Visual Question Have Different Answers?
Nilavra Bhattacharya, Qing Li, Danna Gurari
WoodScape: A Multi-Task, Multi-Camera Fisheye Dataset for Autonomous Driving
Senthil Yogamani, Ciaran Hughes, Jonathan Horgan et al.
WSOD2: Learning Bottom-Up and Top-Down Objectness Distillation for Weakly-Supervised Object Detection
Zhaoyang Zeng, Bei Liu, Jianlong Fu et al.
XRAI: Better Attributions Through Regions
Andrei Kapishnikov, Tolga Bolukbasi, Fernanda Viegas et al.
xR-EgoPose: Egocentric 3D Human Pose From an HMD Camera
Denis Tome, Patrick Peluse, Lourdes Agapito et al.
X-Section: Cross-Section Prediction for Enhanced RGB-D Fusion
Andrea Nicastro, Ronald Clark, Stefan Leutenegger
YOLACT: Real-Time Instance Segmentation
Daniel Bolya, Chong Zhou, Fanyi Xiao et al.
Zero-Shot Anticipation for Instructional Activities
Fadime Sener, Angela Yao
Zero-Shot Emotion Recognition via Affective Structural Embedding
Chi Zhan, Dongyu She, Sicheng Zhao et al.
Zero-Shot Grounding of Objects From Natural Language Queries
Arka Sadhu, Kan Chen, Ram Nevatia
Zero-Shot Video Object Segmentation via Attentive Graph Neural Networks
Wenguan Wang, Xiankai Lu, Jianbing Shen et al.
2D-Driven 3D Object Detection in RGB-D Images
Jean Lahoud, Bernard Ghanem
3DCNN-DQN-RNN: A Deep Reinforcement Learning Framework for Semantic Parsing of Large-Scale 3D Point Clouds
Fangyu Liu, Shuaipeng Li, Liqiang Zhang et al.
3D Graph Neural Networks for RGBD Semantic Segmentation
Xiaojuan Qi, Renjie Liao, Jiaya Jia et al.
3D-PRNN: Generating Shape Primitives With Recurrent Neural Networks
Chuhang Zou, Ersin Yumer, Jimei Yang et al.
3D Surface Detail Enhancement From a Single Normal Map
Wuyuan Xie, Miaohui Wang, Xianbiao Qi et al.
A 3D Morphable Model of Craniofacial Shape and Texture Variation
Hang Dai, Nick Pears, William A. P. Smith et al.