CVPR

Learning to Remember: A Synaptic Plasticity Driven Framework for Continual Learning

Oleksiy Ostapenko, Mihai Puscas, Tassilo Klein, Patrick Jähnichen, Moin Nabi

Comments CVPR 2019

The Perfect Match: 3D Point Cloud Matching with Smoothed Densities

Zan Gojcic, Caifa Zhou, Jan D. Wegner, Andreas Wieser

Comments CVPR 2019

Multi-Object Portion Tracking in 4D Fluorescence Microscopy Imagery with Deep Feature Maps

Yang Jiao, Mo Weng, Mei Yang

Comments 10 pages, 8 figures, CVPR 2019

Real-Time 3D Model Tracking in Color and Depth on a Single CPU Core

Wadim Kehl, Federico Tombari, Slobodan Ilic, Nassir Navab

Comments CVPR 2017

A Neural Temporal Model for Human Motion Prediction

Anand Gopalakrishnan, Ankur Mali, Dan Kifer, C. Lee Giles, Alexander G. Ororbia

Comments accepted to cvpr 2019

Journal ref In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 12116-12125. 2019

Learning Stylized Character Expressions from Humans

Deepali Aneja, Alex Colburn, Gary Faigin, Linda Shapiro, Barbara Mones

Comments 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Women in Computer Vision (WiCV) Workshop Honolulu, Hawaii, USA, July 21st - July 26th, 2017

IFQ-Net: Integrated Fixed-point Quantization Networks for Embedded Vision

Hongxing Gao, Wei Tao, Dongchao Wen, Tse-Wei Chen, Kinya Osa, Masami Kato

Comments 9 pages, 6 figures

Journal ref The IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2018) Workshops

Local Features and Visual Words Emerge in Activations

Oriane Siméoni, Yannis Avrithis, Ondrej Chum

Journal ref CVPR 2019

Grounding Human-to-Vehicle Advice for Self-driving Vehicles

Jinkyu Kim, Teruhisa Misu, Yi-Ting Chen, Ashish Tawari, John Canny

Comments IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2019

Precise Detection in Densely Packed Scenes

Eran Goldman, Roei Herzig, Aviv Eisenschtat, Oria Ratzon, Itsik Levi, Jacob Goldberger, Tal Hassner

Comments CVPR 2019

Journal ref IEEE Conference on Computer Vision and Pattern Recognition, 2019

Question-Conditioned Counterfactual Image Generation for VQA

Jingjing Pan, Yash Goyal, Stefan Lee

Comments Accepted by the VQA Workshop at CVPR 2019

DupNet: Towards Very Tiny Quantized CNN with Improved Accuracy for Face Detection

Hongxing Gao, Wei Tao, Dongchao Wen, Junjie Liu, Tse-Wei Chen, Kinya Osa, Masami Kato

Journal ref The IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2019) Workshops

Knowledge Representing: Efficient, Sparse Representation of Prior Knowledge for Knowledge Distillation

Junjie Liu, Dongchao Wen, Hongxing Gao, Wei Tao, Tse-Wei Chen, Kinya Osa, Masami Kato

Journal ref The IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2019)

Don't only Feel Read: Using Scene text to understand advertisements

Arka Ujjal Dey, Suman K. Ghosh, Ernest Valveny

Comments Accepted in CVPR 2018 Workshop: Towards Automatic Understanding of Visual Advertisements (ADS)

Natural and Realistic Single Image Super-Resolution with Explicit Natural Manifold Discrimination

Jae Woong Soh, Gu Yong Park, Junho Jo, Nam Ik Cho

Comments Presented in CVPR 2019

Argoverse: 3D Tracking and Forecasting with Rich Maps

Ming-Fang Chang, John Lambert, Patsorn Sangkloy, Jagjeet Singh, Slawomir Bak, Andrew Hartnett, De Wang, Peter Carr, Simon Lucey, Deva Ramanan, James Hays

Comments CVPR 2019

ROI Pooled Correlation Filters for Visual Tracking

Yuxuan Sun, Chong Sun, Dong Wang, You He, Huchuan Lu

Comments CVPR 2019 Accepted.10 pages

Semantic Image Synthesis with Spatially-Adaptive Normalization

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

Comments Accepted as a CVPR 2019 oral paper

Journal ref CVPR 2019

Deep RNN Framework for Visual Sequential Applications

Bo Pang, Kaiwen Zha, Hanwen Cao, Chen Shi, Cewu Lu

Comments 10 pages, 7 figures, CVPR 2019

Circulant Binary Convolutional Networks: Enhancing the Performance of 1-bit DCNNs with Circulant Back Propagation

Chunlei Liu, Wenrui Ding, Xin Xia, Baochang Zhang, Jiaxin Gu, Jianzhuang Liu, Rongrong Ji, David Doermann

Comments Published in CVPR2019

Journal ref ]Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2019: 2691-2699

Deep Learning Human Mind for Automated Visual Classification

Concetto Spampinato, Simone Palazzo, Isaak Kavasidis, Daniela Giordano, Mubarak Shah, Nasim Souly

Comments CVPR 2017 Accepted Paper

Journal ref CVPR 2017

Adversarial Structure Matching for Structured Prediction Tasks

Jyh-Jing Hwang, Tsung-Wei Ke, Jianbo Shi, Stella X. Yu

Comments In CVPR 2019. Webpage & Code: https://jyhjinghwang.github.io/projects/asm.html

Multi-scale and Context-adaptive Entropy Model for Image Compression

Jing Zhou, Sihan Wen, Akira Nakagawa, Kimihiko Kazui, Zhiming Tan

Comments accepted by CVPR workshop and Challenge on Learned Image Compression (CLIC) 2019

Searching for A Robust Neural Architecture in Four GPU Hours

Xuanyi Dong, Yi Yang

Comments Minor modifications to the CVPR 2019 camera-ready version (add code link)

Image Generation from Layout

Bo Zhao, Lili Meng, Weidong Yin, Leonid Sigal

Comments Accepted to CVPR 2019 (Oral)

A Mask-RCNN Baseline for Probabilistic Object Detection

Phil Ammirato, Alexander C. Berg

Comments 2nd place in 1st PODC at CVPR 2019

Independently Recurrent Neural Network (IndRNN): Building A Longer and Deeper RNN

Shuai Li, Wanqing Li, Chris Cook, Ce Zhu, Yanbo Gao

Comments CVPR 2018

Visual Natural Language Query Auto-Completion for Estimating Instance Probabilities

Samuel Sharpe, Jin Yan, Fan Wu, Iddo Drori

Journal ref CVPR Language and Vision Workshop, 2019

Style Transfer by Relaxed Optimal Transport and Self-Similarity

Nicholas Kolkin, Jason Salavon, Greg Shakhnarovich

Comments To Appear CVPR 2019, Webdemo Available at http://style.ttic.edu

Adaptive Confidence Smoothing for Generalized Zero-Shot Learning

Yuval Atzmon, Gal Chechik

Comments (1) Accepted to CVPR 2019. (2) Previous title was "Domain-Aware Generalized Zero-Shot Learning". (3) This arxiv version is as the CVPR final version with the following modifications: (a) corrected typos found in Table 3 (b) updated "Related Work" with [52, 10, 20] (c) add a paragraph to the abstract (d) add a probabilistic explanation for the smoothing term