CVPR 2019 Paper from Nvidia

[ cvpr  2019  nvidia  ]

Oral

Semantic Image Synthesis With Spatially-Adaptive Normalization

Taesung Park, Ming-Yu Liu, Ting-Chun Wang, Jun-Yan Zhu source code

STEP: Spatio-Temporal Progressive Learning for Video Action Detection

Xitong Yang, Xiaodong Yang, Ming-Yu Liu, Fanyi Xiao, Larry Davis, Jan Kautz

Efficient Video Classification Using Fewer Frames

Shweta Bhardwaj, Mukundhan Srinivasan, Mitesh M. Khapra

Joint Discriminative and Generative Learning for Person Re-identification

Zhedong Zheng, Xiaodong Yang, Zhiding Yu, Liang Zheng, Yi Yang, Jan Kautz

A Style-Based Generator Architecture for Generative Adversarial Networks

Tero Karras, Samuli Laine, Timo Aila

PlaneRCNN: 3D Plane Detection and Reconstruction from a Single View

Chen Liu, Kihwan Kim, Jinwei Gu, Yasutaka Furukawa, Jan Kautz

Barrage of Random Transforms for Adversarially Robust Defense

Edward Raff; Jared Sylvester; Steven Forsyth; Mark McLean

Improving Semantic Segmentation via Video Propagation and Label Relaxation

Yi Zhu, Karan Sapra, Fitsum A. Reda, Kevin J. Shih, Shawn Newsam, Andrew Tao, Bryan Catanzaro source code

CityFlow: A City-Scale Benchmark for Multi-Target Multi-Camera Vehicle Tracking and Re-Identification

Zheng Tang, Milind Naphade, Ming-Yu Liu, Xiaodong Yang, Stan Birchfield, Shuo Wang, Ratnesh Kumar, David Anastasiu, Jenq-Neng Hwang

Neural RGB -> D Sensing: Depth and Uncertainty from a Video Camera

Chao Liu, Jinwei Gu, Kihwan Kim, Srinivasa Narasimhan, Jan Kautz

Devil is in the Edges: Learning Semantic Boundaries from Noisy Annotations

David Acuna, Amlan Kar, Sanja Fidler

Posters

SCOPS: Self-Supervised Co-Part Segmentation

Wei-Chih Hung, Varun Jampani, Sifei Liu, Pavlo Molchanov, Ming-Hsuan Yang, and Jan Kautz

Learning Linear Transformations for Fast Image and Video Style Transfer

Xueting Li, Sifei Liu, Jan Kautz, Ming-Hsuan Yang

Object Discovery in Videos as Foreground Motion Clustering

Christopher Xie, Yu Xiang, Zaid Harchaoui, Dieter Fox

Pixel-Adaptive Convolutional Neural Networks

Hang Su, Varun Jampani, Deqing Sun, Orazio Gallo, Erik Learned-Miller, Jan Kautz

Importance Estimation for Neural Network Pruning

Pavlo Molchanov, Arun Mallya, Stephen Tyree, Iuri Frosio, Jan Kautz

Graphical Contrastive Losses for Scene Graph Parsing

Ji Zhang, Kevin J. Shih, Ahmed Elgammal, Andrew Tao, Bryan Catanzaro

Competitive Collaboration: Joint Unsupervised Learning of Depth, Camera Motion, Optical Flow and Motion Segmentation

Anurag Ranjan, Varun Jampani, Lukas Balles, Kihwan Kim, Deqing Sun, Jonas Wulff, Michael J. Black

Large-scale Distributed Second-order Optimization Using Kronecker-factored Approximate Curvature for Deep Convolutional Neural Networks

Kazuki Osawa, Yohei Tsuji, Yuichiro Ueno, Akira Naruse, Rio Yokota, Satoshi Matsuoka

Putting Humans in a Scene: Learning Affordance in 3D Indoor Environments

Xueting Li, Sifei Liu, Kihwan Kim, Xiaolong Wang, Ming-Hsuan Yang, Jan Kautz

Written on June 22, 2019