Papers
Object Counting and Instance Segmentation With Image-Level Supervision
Hisham Cholakkal, Guolei Sun, Fahad Shahbaz Khan et al.
Object Detection With Location-Aware Deformable Convolution and Backward Attention Filtering
Chen Zhang, Joohee Kim
Object Discovery in Videos as Foreground Motion Clustering
Christopher Xie, Yu Xiang, Zaid Harchaoui et al.
Object-Driven Text-To-Image Synthesis via Adversarial Training
Wenbo Li, Pengchuan Zhang, Lei Zhang et al.
Object Instance Annotation With Deep Extreme Level Set Evolution
Zian Wang, David Acuna, Huan Ling et al.
Object Tracking by Reconstruction With View-Specific Discriminative Correlation Filters
Ugur Kart, Alan Lukezic, Matej Kristan et al.
Occlusion-Net: 2D/3D Occluded Keypoint Localization Using Graph Networks
N. Dinesh Reddy, Minh Vo, Srinivasa G. Narasimhan
Occupancy Networks: Learning 3D Reconstruction in Function Space
Lars Mescheder, Michael Oechsle, Michael Niemeyer et al.
OCGAN: One-Class Novelty Detection Using GANs With Constrained Latent Representations
Pramuditha Perera, Ramesh Nallapati, Bing Xiang
Octree Guided CNN With Spherical Kernels for 3D Point Clouds
Huan Lei, Naveed Akhtar, Ajmal Mian
ODE-Inspired Network Design for Single Image Super-Resolution
Xiangyu He, Zitao Mo, Peisong Wang et al.
OICSR: Out-In-Channel Sparsity Regularization for Compact Deep Neural Networks
Jiashi Li, Qi Qi, Jingyu Wang et al.
OK-VQA: A Visual Question Answering Benchmark Requiring External Knowledge
Kenneth Marino, Mohammad Rastegari, Ali Farhadi et al.
On Exploring Undetermined Relationships for Visual Relationship Detection
Yibing Zhan, Jun Yu, Ting Yu et al.
On Finding Gray Pixels
Yanlin Qian, Joni-Kristian Kamarainen, Jarno Nikkanen et al.
On Implicit Filter Level Sparsity in Convolutional Neural Networks
Dushyant Mehta, Kwang In Kim, Christian Theobalt
On Learning Density Aware Embeddings
Soumyadeep Ghosh, Richa Singh, Mayank Vatsa
Online High Rank Matrix Completion
Jicong Fan, Madeleine Udell
On Stabilizing Generative Adversarial Training With Noise
Simon Jenni, Paolo Favaro
On the Continuity of Rotation Representations in Neural Networks
Yi Zhou, Connelly Barnes, Jingwan Lu et al.
On the Intrinsic Dimensionality of Image Representations
Sixue Gong, Vishnu Naresh Boddeti, Anil K. Jain
On the Structural Sensitivity of Deep Convolutional Networks to the Directions of Fourier Basis Functions
Yusuke Tsuzuku, Issei Sato
On Zero-Shot Recognition of Generic Objects
Tristan Hascoet, Yasuo Ariki, Tetsuya Takiguchi
Orthogonal Decomposition Network for Pixel-Wise Binary Classification
Chang Liu, Fang Wan, Wei Ke et al.
Out-Of-Distribution Detection for Generalized Zero-Shot Action Recognition
Devraj Mandal, Sanath Narayan, Sai Kumar Dwivedi et al.