ICCV

An empirical study of the relation between network architecture and complexity

Emir Konuk, Kevin Smith

Comments Accepted to ICCV 2019 Preregistration Workshop

Learning Feature-to-Feature Translator by Alternating Back-Propagation for Generative Zero-Shot Learning

Yizhe Zhu, Jianwen Xie, Bingchen Liu, Ahmed Elgammal

Comments accepted to ICCV'19

Content-Consistent Generation of Realistic Eyes with Style

Marcel Bühler, Seonwook Park, Shalini De Mello, Xucong Zhang, Otmar Hilliges

Comments 4 pages, 4 figures, ICCV Workshop 2019

Are we asking the right questions in MovieQA?

Bhavan Jasani, Rohit Girdhar, Deva Ramanan

Comments Spotlight presentation at CLVL workshop, ICCV 2019. Project page: https://bhavanj.github.io/MovieQAWithoutMovies/

A Delay Metric for Video Object Detection: What Average Precision Fails to Tell

Huizi Mao, Xiaodong Yang, William J. Dally

Comments ICCV 2019

Explaining Convolutional Neural Networks using Softmax Gradient Layer-wise Relevance Propagation

Brian Kenji Iwana, Ryohei Kuroki, Seiichi Uchida

Comments Published at ICCV 2019 Workshops

DSConv: Efficient Convolution Operator

Marcelo Gennari, Roger Fawcett, Victor Adrian Prisacariu

Journal ref The IEEE International Conference on Computer Vision (ICCV), 2019, pp. 5148-5157

Learning Motion in Feature Space: Locally-Consistent Deformable Convolution Networks for Fine-Grained Action Detection

Khoi-Nguyen C. Mac, Dhiraj Joshi, Raymond A. Yeh, Jinjun Xiong, Rogerio S. Feris, Minh N. Do

Comments Accepted at ICCV 2019 as oral

Unimodal-uniform Constrained Wasserstein Training for Medical Diagnosis

Xiaofeng Liu, Xu Han, Yukai Qiao, Yi Ge, Lu Jun

Comments ICCV VRMI workshop Oral. arXiv admin note: text overlap with arXiv:1911.00962

Architectural Tricks for Deep Learning in Remote Photoplethysmography

Mikhail Kopeliovich, Yuriy Mironenko, Mikhail Petrushan

Comments Workshop on Computer Vision for Physiological Measurement, ICCV 2019

Leveraging Model Interpretability and Stability to increase Model Robustness

Fei Wu, Thomas Michel, Alexandre Briot

Comments 2019 ICCV workshop on Interpreting and Explaining Visual AI models; 8 pages

CNN-based Cost Volume Analysis as Confidence Measure for Dense Matching

Max Mehltretter, Christian Heipke

Comments The IEEE International Conference on Computer Vision (ICCV) Workshops (2019)

Adaptive Context Network for Scene Parsing

Jun Fu, Jing Liu, Yuhang Wang, Yong Li, Yongjun Bao, Jinhui Tang, Hanqing Lu

Comments Accepted by ICCV 2019

Journal ref International Conference on Computer Vision 2019

Conservative Wasserstein Training for Pose Estimation

Xiaofeng Liu, Yang Zou, Tong Che, Peng Ding, Ping Jia, Jane You, Kumar B. V. K

Comments ICCV 2019

Scene Graph based Image Retrieval -- A case study on the CLEVR Dataset

Sahana Ramnath, Amrita Saha, Soumen Chakrabarti, Mitesh M. Khapra

Comments 3 pages including references, Accepted at the ICCV 2019 Workshop - 'Linguistics Meets Image and Video Retrieval' (received Best Paper Award)

Key.Net: Keypoint Detection by Handcrafted and Learned CNN Filters

Axel Barroso-Laguna, Edgar Riba, Daniel Ponsa, Krystian Mikolajczyk

Journal ref International Conference on Computer Vision (ICCV) 2019

Picking groups instead of samples: A close look at Static Pool-based Meta-Active Learning

Ignasi Mas, Josep Ramon Morros, Veronica Vilaplana

Journal ref ICCV Workshop - MDALC 2019. Seoul, South Korea; 2019

MGBPv2: Scaling Up Multi-Grid Back-Projection Networks

Pablo Navarrete Michelini, Wenbin Chen, Hanwen Liu, Dan Zhu

Comments In ICCV 2019 Workshops. Winner of Perceptual track in AIM Extreme Super-Resolution Challenge 2019. Code available at https://github.com/pnavarre/mgbpv2

Fooling Neural Network Interpretations via Adversarial Model Manipulation

Juyeon Heo, Sunghwan Joo, Taesup Moon

Journal ref NeurIPS 2019, ICCV workshop 2019

Free-Lunch Saliency via Attention in Atari Agents

Dmitry Nikulin, Anastasia Ianina, Vladimir Aliev, Sergey Nikolenko

Comments 2019 ICCV Workshop on Interpreting and Explaining Visual Artificial Intelligence Models. 15 pages, 14 figures, 5 tables

Comprehensive Video Understanding: Video summarization with content-based video recommender design

Yudong Jiang, Kaixu Cui, Bo Peng, Changliang Xu

Comments 2019 International Conference on Computer Vision Workshop (ICCVW 2019)

SegSort: Segmentation by Discriminative Sorting of Segments

Jyh-Jing Hwang, Stella X. Yu, Jianbo Shi, Maxwell D. Collins, Tien-Ju Yang, Xiao Zhang, Liang-Chieh Chen

Comments In ICCV 2019. Webpage & Code: https://jyhjinghwang.github.io/projects/segsort.html

Depth from Videos in the Wild: Unsupervised Monocular Depth Learning from Unknown Cameras

Ariel Gordon, Hanhan Li, Rico Jonschkowski, Anelia Angelova

Journal ref The IEEE International Conference on Computer Vision (ICCV), 2019, pp. 8977-8986

SID4VAM: A Benchmark Dataset with Synthetic Images for Visual Attention Modeling

David Berga, Xosé R. Fdez-Vidal, Xavier Otazu, Xosé M. Pardo

Comments 10 pages, 8 figures, 3 tables, conference paper (ICCV 2019), ICCV_2019/papers/Berga_SID4VAM_A_Benchmark_Dataset_With_Synthetic_Images_for_Visual_Attention_ICCV_2019_paper.pdf" target="_blank" rel="noopener">http://openaccess.thecvf.com/content_ICCV_2019/papers/Berga_SID4VAM_A_Benchmark_Dataset_With_Synthetic_Images_for_Visual_Attention_ICCV_2019_paper.pdf

Journal ref The IEEE International Conference on Computer Vision (ICCV) 2019

RGB-Infrared Cross-Modality Person Re-Identification via Joint Pixel and Feature Alignment

Guan'an Wang, Tianzhu Zhang, Jian Cheng, Si Liu, Yang Yang, Zengguang Hou

Comments accepted by ICCV'19

CARAFE: Content-Aware ReAssembly of FEatures

Jiaqi Wang, Kai Chen, Rui Xu, Ziwei Liu, Chen Change Loy, Dahua Lin

Comments ICCV 2019 Camera Ready (Oral)

Variational Adversarial Active Learning

Samarth Sinha, Sayna Ebrahimi, Trevor Darrell

Comments First two authors contributed equally, listed alphabetically. Accepted as Oral at ICCV 2019

Normalized Wasserstein Distance for Mixture Distributions with Applications in Adversarial Learning and Domain Adaptation

Yogesh Balaji, Rama Chellappa, Soheil Feizi

Comments Accepted at ICCV 2019

Deep Appearance Maps

Maxim Maximov, Laura Leal-Taixé, Mario Fritz, Tobias Ritschel

Journal ref ICCV 2019

Pushing the Frontiers of Unconstrained Crowd Counting: New Dataset and Benchmark Method

Vishwanath A. Sindagi, Rajeev Yasarla, Vishal M. Patel

Comments Accepted at ICCV 2019