ICCV

Improving Unsupervised Visual Program Inference with Code Rewriting Families

Aditya Ganeshan, R. Kenny Jones, Daniel Ritchie

Comments Accepted at ICCV 23 (oral). Website: https://bardofcodes.github.io/coref/

Test Time Adaptation for Blind Image Quality Assessment

Subhadeep Roy, Shankhanil Mitra, Soma Biswas, Rajiv Soundararajan

Comments Accepted to ICCV 2023

Structure Invariant Transformation for better Adversarial Transferability

Xiaosen Wang, Zeliang Zhang, Jianping Zhang

Comments Accepted by ICCV 2023

DONNAv2 -- Lightweight Neural Architecture Search for Vision tasks

Sweta Priyadarshi, Tianyu Jiang, Hsin-Pai Cheng, Sendil Krishna, Viswanath Ganapathy, Chirag Patel

Comments Accepted at ICCV-Workshop on Resource-Efficient Deep Learning, 2023

ZiCo-BC: A Bias Corrected Zero-Shot NAS for Vision Tasks

Kartikeya Bhardwaj, Hsin-Pai Cheng, Sweta Priyadarshi, Zhuojin Li

Comments Accepted at ICCV-Workshop on Resource-Efficient Deep Learning, 2023

Unsupervised 3D Perception with 2D Vision-Language Distillation for Autonomous Driving

Mahyar Najibi, Jingwei Ji, Yin Zhou, Charles R. Qi, Xinchen Yan, Scott Ettinger, Dragomir Anguelov

Comments ICCV 2023

On Calibration of Modern Quantized Efficient Neural Networks

Joey Kuang, Alexander Wong

Comments Accepted as an extended abstract at the ICCV 2023 Workshop on Low-Bit Quantized Neural Networks. Corrected some typos

BANSAC: A dynamic BAyesian Network for adaptive SAmple Consensus

Valter Piedade, Pedro Miraldo

Comments ICCV 2023 paper

Weakly-Supervised Action Localization by Hierarchically-structured Latent Attention Modeling

Guiqin Wang, Peng Zhao, Cong Zhao, Shusen Yang, Jie Cheng, Luziwei Leng, Jianxing Liao, Qinghai Guo

Comments Accepted to ICCV 2023. arXiv admin note: text overlap with arXiv:2203.15187, arXiv:2003.12424, arXiv:2104.02967 by other authors

MonoNeRD: NeRF-like Representations for Monocular 3D Object Detection

Junkai Xu, Liang Peng, Haoran Cheng, Hao Li, Wei Qian, Ke Li, Wenxiao Wang, Deng Cai

Comments Accepted by ICCV 2023

Chop & Learn: Recognizing and Generating Object-State Compositions

Nirat Saini, Hanyu Wang, Archana Swaminathan, Vinoj Jayasundara, Bo He, Kamal Gupta, Abhinav Shrivastava

Comments To appear at ICCV 2023

Tiled Multiplane Images for Practical 3D Photography

Numair Khan, Douglas Lanman, Lei Xiao

Comments ICCV 2023

Informative Data Mining for One-Shot Cross-Domain Semantic Segmentation

Yuxi Wang, Jian Liang, Jun Xiao, Shuqi Mei, Yuran Yang, Zhaoxiang Zhang

Comments Accepted by ICCV 2023

Automatic Animation of Hair Blowing in Still Portrait Photos

Wenpeng Xiao, Wentao Liu, Yitong Wang, Bernard Ghanem, Bing Li

Comments Accepted to ICCV 2023

DISeR: Designing Imaging Systems with Reinforcement Learning

Tzofi Klinghoffer, Kushagra Tiwary, Nikhil Behari, Bhavya Agrawalla, Ramesh Raskar

Comments ICCV 2023. Project Page: https://tzofi.github.io/diser

GHN-QAT: Training Graph Hypernetworks to Predict Quantization-Robust Parameters of Unseen Limited Precision Neural Networks

Stone Yun, Alexander Wong

Comments Poster and extended abstract to be presented at the Workshop for Low Bit Quantized Neural Networks (LQBNN) @ ICCV 2023

Devil in the Number: Towards Robust Multi-modality Data Filter

Yichen Xu, Zihan Xu, Wenhao Chai, Zhonghan Zhao, Enxin Song, Gaoang Wang

Comments ICCV 2023 Workshop: TNGCV-DataComp

MOSAIC: Multi-Object Segmented Arbitrary Stylization Using CLIP

Prajwal Ganugula, Y S S S Santosh Kumar, N K Sagar Reddy, Prabhath Chellingi, Avinash Thakur, Neeraj Kasera, C Shyam Anand

Comments Camera ready, New Ideas in Vision Transformers workshop, ICCV 2023

A SAM-based Solution for Hierarchical Panoptic Segmentation of Crops and Weeds Competition

Khoa Dang Nguyen, Thanh-Hai Phung, Hoang-Giang Cao

Comments Technical report of NYCU-WEED team for the challenge of hierarchical panoptic segmentation of crops and weeds using the PhenoBench dataset at the 8th Workshop on Computer Vision in Plant Phenotyping and Agriculture (CVPPA) - International Conference on Computer Vision (ICCV) 2023

LiDAR-UDA: Self-ensembling Through Time for Unsupervised LiDAR Domain Adaptation

Amirreza Shaban, JoonHo Lee, Sanghun Jung, Xiangyun Meng, Byron Boots

Comments Accepted ICCV 2023 (Oral)

Order-preserving Consistency Regularization for Domain Adaptation and Generalization

Mengmeng Jing, Xiantong Zhen, Jingjing Li, Cees Snoek

Comments Accepted by ICCV 2023

Rethinking Amodal Video Segmentation from Learning Supervised Signals with Object-centric Representation

Ke Fan, Jingshi Lei, Xuelin Qian, Miaopeng Yu, Tianjun Xiao, Tong He, Zheng Zhang, Yanwei Fu

Comments Accepted by ICCV 2023

NDDepth: Normal-Distance Assisted Monocular Depth Estimation

Shuwei Shao, Zhongcai Pei, Weihai Chen, Xingming Wu, Zhengguo Li

Comments Accepted by ICCV 2023 (Oral)

How Much Temporal Long-Term Context is Needed for Action Segmentation?

Emad Bahrami, Gianpiero Francesca, Juergen Gall

Comments ICCV 2023

A Comprehensive Empirical Evaluation on Online Continual Learning

Albin Soutif--Cormerais, Antonio Carta, Andrea Cossu, Julio Hurtado, Hamed Hemati, Vincenzo Lomonaco, Joost Van de Weijer

Comments ICCV Visual Continual Learning Workshop 2023 accepted paper

All-pairs Consistency Learning for Weakly Supervised Semantic Segmentation

Weixuan Sun, Yanhao Zhang, Zhen Qin, Zheyuan Liu, Lin Cheng, Fanyi Wang, Yiran Zhong, Nick Barnes

Comments ICCV 2023 workshop, code released at: https://github.com/OpenNLPLab/ACR_WSSS

Improving Generalization of Synthetically Trained Sonar Image Descriptors for Underwater Place Recognition

Ivano Donadi, Emilio Olivastri, Daniel Fusaro, Wanmeng Li, Daniele Evangelista, Alberto Pretto

Comments This paper has been accepted for publication at the 14th International Conference on Computer Vision Systems (ICVS 2023)

Journal ref Proceedings of the 14th International Conference on Computer Vision Systems (ICVS 2023)

Source-free Depth for Object Pop-out

Zongwei Wu, Danda Pani Paudel, Deng-Ping Fan, Jingjing Wang, Shuo Wang, Cédric Demonceaux, Radu Timofte, Luc Van Gool

Comments Accepted to ICCV 2023

SAGA: Spectral Adversarial Geometric Attack on 3D Meshes

Tomer Stolik, Itai Lang, Shai Avidan

Comments Presented at ICCV 2023. Project page: https://stoliktomer.github.io/SAGA/

Neural 3D Morphable Models: Spiral Convolutional Networks for 3D Shape Representation Learning and Generation

Giorgos Bouritsas, Sergiy Bokhnyak, Stylianos Ploumpis, Michael Bronstein, Stefanos Zafeiriou

Comments to appear at ICCV 2019

Journal ref Proc. IEEE/CVF Int. Conf. Comput. Vis. (ICCV) pp. 7213 - 7222 (2019)