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ORCIDACCV 2020: Kyoto, Japan
- Hiroshi Ishikawa, Cheng-Lin Liu, Tomás Pajdla, Jianbo Shi:
Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30 - December 4, 2020, Revised Selected Papers, Part IV. Lecture Notes in Computer Science 12625, Springer 2021, ISBN 978-3-030-69537-8
Deep Learning for Computer Vision
- Minsong Ki, Youngjung Uh
, Wonyoung Lee, Hyeran Byun:
In-sample Contrastive Learning and Consistent Attention for Weakly Supervised Object Localization. 3-18 - Sunhee Hwang, Sungho Park, Pilhyeon Lee, Seogkyu Jeon, Dohyung Kim, Hyeran Byun:
Exploiting Transferable Knowledge for Fairness-Aware Image Classification. 19-35 - Jindong Gu, Zhiliang Wu, Volker Tresp:
Introspective Learning by Distilling Knowledge from Online Self-explanation. 36-52 - Engkarat Techapanurak, Masanori Suganuma, Takayuki Okatani:
Hyperparameter-Free Out-of-Distribution Detection Using Cosine Similarity. 53-69 - Toby Perrett, Alessandro Masullo, Tilo Burghardt, Majid Mirmehdi, Dima Damen:
Meta-Learning with Context-Agnostic Initialisations. 70-86 - Qiang Sun, Binghui Xie, Yanwei Fu:
Second Order Enhanced Multi-glimpse Attention in Visual Question Answering. 87-103 - Heng Zhang, Élisa Fromont, Sébastien Lefèvre, Bruno Avignon:
Localize to Classify and Classify to Localize: Mutual Guidance in Object Detection. 104-118 - Zhengxi Zhang, Liang Zhao, Yunan Liu, Shanshan Zhang, Jian Yang:
Unified Density-Aware Image Dehazing and Object Detection in Real-World Hazy Scenes. 119-135 - Wangmeng Xiang, Jianqiang Huang, Xian-Sheng Hua, Lei Zhang:
Part-Aware Attention Network for Person Re-identification. 136-152 - Sen He, Wentong Liao, Hamed R. Tavakoli, Michael Ying Yang, Bodo Rosenhahn, Nicolas Pugeault:
Image Captioning Through Image Transformer. 153-169 - Junjie He, Bohua Chen, Yinzhang Ding, Dongxiao Li:
Feature Variance Ratio-Guided Channel Pruning for Deep Convolutional Network Acceleration. 170-186 - Arijit Patra, Tapabrata Chakraborti:
Learn More, Forget Less: Cues from Human Brain. 187-202 - Soma Minami, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi:
Knowledge Transfer Graph for Deep Collaborative Learning. 203-217 - Hung-Yu Tseng, Yi-Wen Chen, Yi-Hsuan Tsai, Sifei Liu, Yen-Yu Lin, Ming-Hsuan Yang:
Regularizing Meta-learning via Gradient Dropout. 218-234 - Thomas Gittings, Steve Schneider, John P. Collomosse:
Vax-a-Net: Training-Time Defence Against Adversarial Patch Attacks. 235-251 - Dong Li, Sitong Chen, Xudong Liu, Yunda Sun, Li Zhang:
Towards Optimal Filter Pruning with Balanced Performance and Pruning Speed. 252-267 - Shuyang Dai, Yu Cheng, Yizhe Zhang, Zhe Gan, Jingjing Liu, Lawrence Carin:
Contrastively Smoothed Class Alignment for Unsupervised Domain Adaptation. 268-283 - Philipp Benz, Chaoning Zhang, Tooba Imtiaz, In So Kweon:
Double Targeted Universal Adversarial Perturbations. 284-300 - Jun-Ho Choi, Huan Zhang, Jun-Hyuk Kim, Cho-Jui Hsieh, Jong-Seok Lee:
Adversarially Robust Deep Image Super-Resolution Using Entropy Regularization. 301-317 - Zheng Li, Ying Huang, Defang Chen, Tianren Luo, Ning Cai, Zhigeng Pan:
Online Knowledge Distillation via Multi-branch Diversity Enhancement. 318-333 - Chao Zhang, Ignas Budvytis, Stephan Liwicki, Roberto Cipolla:
Rotation Equivariant Orientation Estimation for Omnidirectional Localization. 334-350 - Diego Marcos, Ruth Fong, Sylvain Lobry, Rémi Flamary, Nicolas Courty, Devis Tuia:
Contextual Semantic Interpretability. 351-368 - Shan Zhang, Dawei Luo, Lei Wang, Piotr Koniusz:
Few-Shot Object Detection by Second-Order Pooling. 369-387 - Zongwei Wu, Guillaume Allibert, Christophe Stolz, Cédric Demonceaux:
Depth-Adapted CNN for RGB-D Cameras. 388-404
Generative Models for Computer Vision
- Yuhui Cao, Yurui Ren, Thomas H. Li, Ge Li:
Over-Exposure Correction via Exposure and Scene Information Disentanglement. 407-422 - Mohamed Ilyes Lakhal, Davide Boscaini, Fabio Poiesi, Oswald Lanz, Andrea Cavallaro:
Novel-View Human Action Synthesis. 423-441 - Rafael Felix, Michele Sasdelli, Ian D. Reid, Gustavo Carneiro:
Augmentation Network for Generalised Zero-Shot Learning. 442-458 - Zhaoyang Sun, Feng Liu, Wen Liu, Shengwu Xiong, Wenxuan Liu:
Local Facial Makeup Transfer via Disentangled Representation. 459-473 - Luke Ditria, Benjamin J. Meyer, Tom Drummond:
OpenGAN: Open Set Generative Adversarial Networks. 474-492 - Jiale Zhang, Ke Xian, Chengxin Liu, Yinpeng Chen, Zhiguo Cao, Weicai Zhong:
CPTNet: Cascade Pose Transform Network for Single Image Talking Head Animation. 493-508 - Ting-Yun Chang, Chi-Jen Lu:
TinyGAN: Distilling BigGAN for Conditional Image Generation. 509-525 - Qi Li, Long Mai, Michael A. Alcorn, Anh Nguyen:
A Cost-Effective Method for Improving and Re-purposing Large, Pre-trained GANs by Fine-Tuning Their Class-Embeddings. 526-541 - Ali Köksal, Shijian Lu:
RF-GAN: A Light and Reconfigurable Network for Unpaired Image-to-Image Translation. 542-559 - Tran Duy Linh, Son Minh Nguyen, Masayuki Arai:
GAN-Based Noise Model for Denoising Real Images. 560-572 - Chanjong Park, In-Kwon Lee:
Emotional Landscape Image Generation Using Generative Adversarial Networks. 573-590 - Adam Golinski, Reza Pourreza, Yang Yang, Guillaume Sautière, Taco S. Cohen:
Feedback Recurrent Autoencoder for Video Compression. 591-607 - Jiaze Sun, Binod Bhattarai, Tae-Kyun Kim:
MatchGAN: A Self-supervised Semi-supervised Conditional Generative Adversarial Network. 608-623 - Marcel C. Bühler, Andrés Romero, Radu Timofte:
DeepSEE: Deep Disentangled Semantic Explorative Extreme Super-Resolution. 624-642 - Riddhish Bhalodia, Iain Lee, Shireen Y. Elhabian:
dpVAEs: Fixing Sample Generation for Regularized VAEs. 643-660 - Yi Wei, Zhe Gan, Wenbo Li, Siwei Lyu, Ming-Ching Chang, Lei Zhang, Jianfeng Gao, Pengchuan Zhang:
MagGAN: High-Resolution Face Attribute Editing with Mask-Guided Generative Adversarial Network. 661-678 - Baptiste Rozière, Fabien Teytaud, Vlad Hosu, Hanhe Lin, Jérémy Rapin, Mariia Zameshina, Olivier Teytaud:
EvolGAN: Evolutionary Generative Adversarial Networks. 679-694 - Phong Nguyen-Ha, Lam Huynh, Esa Rahtu, Janne Heikkilä:
Sequential View Synthesis with Transformer. 695-711
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