CVPR

Learning Individual Styles of Conversational Gesture

Shiry Ginosar, Amir Bar, Gefen Kohavi, Caroline Chan, Andrew Owens, Jitendra Malik

Comments CVPR 2019

Towards Social Artificial Intelligence: Nonverbal Social Signal Prediction in A Triadic Interaction

Hanbyul Joo, Tomas Simon, Mina Cikara, Yaser Sheikh

Comments CVPR 2019

Unit Impulse Response as an Explainer of Redundancy in a Deep Convolutional Neural Network

Rachana Sathish, Debdoot Sheet

Comments Workshop on Expalainable AI, CVPR 2019

Synthesizing 3D Shapes from Silhouette Image Collections using Multi-projection Generative Adversarial Networks

Xiao Li, Yue Dong, Pieter Peers, Xin Tong

Comments CVPR 2019

Fast Spatially-Varying Indoor Lighting Estimation

Mathieu Garon, Kalyan Sunkavalli, Sunil Hadap, Nathan Carr, Jean-François Lalonde

Comments CVPR19

Journal ref The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019, pp. 6908-6917

Unsupervised Primitive Discovery for Improved 3D Generative Modeling

Salman H. Khan, Yulan Guo, Munawar Hayat, Nick Barnes

Comments CVPR 2019

Pattern-Affinitive Propagation across Depth, Surface Normal and Semantic Segmentation

Zhenyu Zhang, Zhen Cui, Chunyan Xu, Yan Yan, Nicu Sebe, Jian Yang

Comments 10 pages, 9 figures, CVPR 2019

Deep Fitting Degree Scoring Network for Monocular 3D Object Detection

Lijie Liu, Jiwen Lu, Chunjing Xu, Qi Tian, Jie Zhou

Comments Accepted by CVPR 2019

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

David Acuna, Amlan Kar, Sanja Fidler

Comments Accepted as a CVPR 2019 oral paper (Project Page: https://nv-tlabs.github.io/STEAL/)

Journal ref CVPR 2019

Image-to-Image Translation via Group-wise Deep Whitening-and-Coloring Transformation

Wonwoong Cho, Sungha Choi, David Keetae Park, Inkyu Shin, Jaegul Choo

Comments CVPR 2019 (oral)

Text2Scene: Generating Compositional Scenes from Textual Descriptions

Fuwen Tan, Song Feng, Vicente Ordonez

Comments CVPR 2019

Evolving Losses for Unlabeled Video Representation Learning

AJ Piergiovanni, Anelia Angelova, Michael S. Ryoo

Comments Non-archival abstract for CVPR Workshop on Learning from Unlabeled Videos

How to make a pizza: Learning a compositional layer-based GAN model

Dim P. Papadopoulos, Youssef Tamaazousti, Ferda Ofli, Ingmar Weber, Antonio Torralba

Comments CVPR 2019

Iterative Self-Learning: Semi-Supervised Improvement to Dataset Volumes and Model Accuracy

Robert Dupre, Jiri Fajtl, Vasileios Argyriou, Paolo Remagnin

Journal ref CVPR'2019 workshop - Uncertainty and Robustness in Deep Visual Learning

Adversarial Semantic Alignment for Improved Image Captions

Pierre L. Dognin, Igor Melnyk, Youssef Mroueh, Jarret Ross, Tom Sercu

Comments Authors Equal Contribution, CVPR 2019

Content Adaptive Optimization for Neural Image Compression

Joaquim Campos, Simon Meierhans, Abdelaziz Djelouah, Christopher Schroers

Comments CVPR Workshop and Challenge on Learned Image Compression (2019)

Auditing ImageNet: Towards a Model-driven Framework for Annotating Demographic Attributes of Large-Scale Image Datasets

Chris Dulhanty, Alexander Wong

Comments To appear in the Workshop on Fairness Accountability Transparency and Ethics in Computer Vision (FATE CV) at CVPR 2019

Unpaired Pose Guided Human Image Generation

Xu Chen, Jie Song, Otmar Hilliges

Comments camera ready for CVPR 2019 VUHCS workshop

Active Object Manipulation Facilitates Visual Object Learning: An Egocentric Vision Study

Satoshi Tsutsui, Dian Zhi, Md Alimoor Reza, David Crandall, Chen Yu

Comments Accepted at 2019 CVPR Workshop on Egocentric Perception, Interaction and Computing (EPIC)

3D Appearance Super-Resolution with Deep Learning

Yawei Li, Vagia Tsiminaki, Radu Timofte, Marc Pollefeys, Luc van Gool

Comments In CVPR 2019. Github papge: https://github.com/ofsoundof/3D_Appearance_SR

Conditional Probability Models for Deep Image Compression

Fabian Mentzer, Eirikur Agustsson, Michael Tschannen, Radu Timofte, Luc Van Gool

Comments CVPR 2018. Code available at https://github.com/fab-jul/imgcomp-cvpr . The first two authors contributed equally. Minor revision: fixed Fig. 2, added page numbers

State-aware Re-identification Feature for Multi-target Multi-camera Tracking

Peng Li, Jiabin Zhang, Zheng Zhu, Yanwei Li, Lu Jiang, Guan Huang

Comments To appear in CVPR-2019 TRMTMCT Workshop

Exploiting Offset-guided Network for Pose Estimation and Tracking

Rui Zhang, Zheng Zhu, Peng Li, Rui Wu, Chaoxu Guo, Guan Huang, Hailun Xia

Comments To appear in CVPR-2019 VUHCS Workshop

Face Parsing with RoI Tanh-Warping

Jinpeng Lin, Hao Yang, Dong Chen, Ming Zeng, Fang Wen, Lu Yuan

Comments CVPR 2019

Triangulation Learning Network: from Monocular to Stereo 3D Object Detection

Zengyi Qin, Jinglu Wang, Yan Lu

Comments 9 pages, accepted by CVPR 2019

Parametric Shape Modeling and Skeleton Extraction with Radial Basis Functions using Similarity Domains Network

Sedat Ozer

Comments This is the pre-print for the CVPR submission

ArcticNet: A Deep Learning Solution to Classify Arctic Wetlands

Ziyu Jiang, Kate Von Ness, Julie Loisel, Zhangyang Wang

Comments Published at CVPR 2019 Detecting Objects in Aerial Images Workshop

Modulating Image Restoration with Continual Levels via Adaptive Feature Modification Layers

Jingwen He, Chao Dong, Yu Qiao

Comments Accepted by CVPR 2019 (oral); code is available: https://github.com/hejingwenhejingwen/AdaFM

StereoDRNet: Dilated Residual Stereo Net

Rohan Chabra, Julian Straub, Chris Sweeney, Richard Newcombe, Henry Fuchs

Comments Accepted at CVPR 2019

Peeking into the Future: Predicting Future Person Activities and Locations in Videos

Junwei Liang, Lu Jiang, Juan Carlos Niebles, Alexander Hauptmann, Li Fei-Fei

Comments In CVPR 2019. Code, models and more results are available at: https://next.cs.cmu.edu/