Papers
Objects that Sound
Relja Arandjelovic, Andrew Zisserman
DFT-based Transformation Invariant Pooling Layer for Visual Classification
Jongbin Ryu, Ming-Hsuan Yang, Jongwoo Lim
Learning Deep Representations with Probabilistic Knowledge Transfer
Nikolaos Passalis, Anastasios Tefas
Towards Realistic Predictors
Pei Wang, Nuno Vasconcelos
Eliminating the Blind Spot: Adapting 3D Object Detection and Monocular Depth Estimation to 360° Panoramic Imagery
Greire Payen de La Garanderie, Amir Atapour Abarghouei, Toby P. Breckon
Revisiting the Inverted Indices for Billion-Scale Approximate Nearest Neighbors
Dmitry Baranchuk, Artem Babenko, Yury Malkov
Shuffle-Then-Assemble: Learning Object-Agnostic Visual Relationship Features
Xu Yang, Hanwang Zhang, Jianfei Cai
3D Vehicle Trajectory Reconstruction in Monocular Video Data Using Environment Structure Constraints
Sebastian Bullinger, Christoph Bodensteiner, Michael Arens et al.
Unsupervised Video Object Segmentation with Motion-based Bilateral Networks
Siyang Li, Bryan Seybold, Alexey Vorobyov et al.
VideoMatch: Matching based Video Object Segmentation
Yuan-Ting Hu, Jia-Bin Huang, Alexander G. Schwing
Show, Tell and Discriminate: Image Captioning by Self-retrieval with Partially Labeled Data
Xihui Liu, Hongsheng Li, Jing Shao et al.
Connecting Gaze, Scene, and Attention: Generalized Attention Estimation via Joint Modeling of Gaze and Scene Saliency
Eunji Chong, Nataniel Ruiz, Yongxin Wang et al.
Local Orthogonal-Group Testing
Ahmet Iscen, Ondrej Chum
Focus, Segment and Erase: An Efficient Network for Multi-Label Brain Tumor Segmentation
Xuan Chen, Jun Hao Liew, Wei Xiong et al.
Textual Explanations for Self-Driving Vehicles
Jinkyu Kim, Anna Rohrbach, Trevor Darrell et al.
Learning Rigidity in Dynamic Scenes with a Moving Camera for 3D Motion Field Estimation
Zhaoyang Lv, Kihwan Kim, Alejandro Troccoli et al.
Quantization Mimic: Towards Very Tiny CNN for Object Detection
Yi Wei, Xinyu Pan, Hongwei Qin et al.
Occlusions, Motion and Depth Boundaries with a Generic Network for Disparity, Optical Flow or Scene Flow Estimation
Eddy Ilg, Tonmoy Saikia, Margret Keuper et al.
CurriculumNet: Weakly Supervised Learning from Large-Scale Web Images
Sheng Guo, Weilin Huang, Haozhi Zhang et al.
SpiderCNN: Deep Learning on Point Sets with Parameterized Convolutional Filters
Yifan Xu, Tianqi Fan, Mingye Xu et al.
R2P2: A ReparameteRized Pushforward Policy for Diverse, Precise Generative Path Forecasting
Nicholas Rhinehart, Kris M. Kitani, Paul Vernaza
DeepTAM: Deep Tracking and Mapping
Huizhong Zhou, Benjamin Ummenhofer, Thomas Brox
Incremental Multi-graph Matching via Diversity and Randomness based Graph Clustering
Tianshu Yu, Junchi Yan, Wei Liu et al.
Double JPEG Detection in Mixed JPEG Quality Factors using Deep Convolutional Neural Network
Jinseok Park, Donghyeon Cho, Wonhyuk Ahn et al.