Wu, Jing

32 publications

CVPR 2025 Erasing Undesirable Influence in Diffusion Models Jing Wu, Trung Le, Munawar Hayat, Mehrtash Harandi

AAAI 2025 Improving Model Probability Calibration by Integration of Large Data Sources with Biased Labels Renat Sergazinov, Richard Chen, Cheng Ji, Jing Wu, Daniel Cociorva, Hakan Brunzell

ICCV 2025 MUNBa: Machine Unlearning via Nash Bargaining Jing Wu, Mehrtash Harandi

WACV 2025 RGB-D Video Mirror Detection Mingchen Xu, Peter Herbert, Yu-Kun Lai, Ze Ji, Jing Wu

AAAI 2024 Concealing Sensitive Samples Against Gradient Leakage in Federated Learning Jing Wu, Munawar Hayat, Mingyi Zhou, Mehrtash Harandi

ICML 2024 Efficient Precision and Recall Metrics for Assessing Generative Models Using Hubness-Aware Sampling Yuanbang Liang, Jing Wu, Yu-Kun Lai, Yipeng Qin

NeurIPS 2024 Enhancing Vision-Language Models for Medical Imaging: Bridging the 3D Gap with Innovative Slice Selection Yuli Wang, Jian Peng, Yuwei Dai, Craig Jones, Haris Sair, Jinglai Shen, Nicolas Loizou, Jing Wu, Wen-Chi Hsu, Maliha Imami, Zhicheng Jiao, Paul Zhang, Harrison Bai

ECCV 2024 GaussCtrl: Multi-View Consistent Text-Driven 3D Gaussian Splatting Editing Jing Wu, Jia-Wang Bian, Xinghui Li, Guangrun Wang, Ian Reid, Philip Torr, Victor Adrian Prisacariu

CVPRW 2024 Multi-Level Feature Fusion Network for Lightweight Stereo Image Super-Resolution Yunxiang Li, Wenbin Zou, Qiaomu Wei, Feng Huang, Jing Wu

WACV 2024 RSMPNet: Relationship Guided Semantic mAP Prediction Jingwen Sun, Jing Wu, Ze Ji, Yu-Kun Lai

CVPRW 2024 Residual-Based Language Models Are Free Boosters for Biomedical Imaging Tasks Zhixin Lai, Jing Wu, Suiyao Chen, Yucheng Zhou, Naira Hovakimyan

ECCV 2024 Scissorhands: Scrub Data Influence via Connection Sensitivity in Networks Jing Wu, Mehrtash Harandi

ECCV 2024 SemTrack: A Large-Scale Dataset for Semantic Tracking in the Wild Pengfei Wang, Xiaofei Hui, Jing Wu, Zile Yang, Kian Eng Ong, Xinge Zhao, Beijia Lu, Dezhao Huang, Evan Ling, Weiling Chen, Keng Teck Ma, Minhoe Hur, Jun Liu

WACV 2024 Sparse Convolutional Networks for Surface Reconstruction from Noisy Point Clouds Tao Wang, Jing Wu, Ze Ji, Yu-Kun Lai

AAAI 2024 SwitchTab: Switched Autoencoders Are Effective Tabular Learners Jing Wu, Suiyao Chen, Qi Zhao, Renat Sergazinov, Chen Li, Shengjie Liu, Chongchao Zhao, Tianpei Xie, Hanqing Guo, Cheng Ji, Daniel Cociorva, Hakan Brunzell

NeurIPSW 2024 TabDeco: A Comprehensive Contrastive Framework for Decoupled Representations in Tabular Data Suiyao Chen, Jing Wu, Yunxiao Wang, Cheng Ji, Tianpei Xie, Daniel Cociorva, Michael Sharps, Cecile Levasseur, Hakan Brunzell

CVPRW 2024 The New Agronomists: Language Models Are Experts in Crop Management Jing Wu, Zhixin Lai, Suiyao Chen, Ran Tao, Pan Zhao, Naira Hovakimyan

WACV 2023 AFPSNet: Multi-Class Part Parsing Based on Scaled Attention and Feature Fusion Njuod Alsudays, Jing Wu, Yu-Kun Lai, Ze Ji

NeurIPS 2023 Balanced Training for Sparse GANs Yite Wang, Jing Wu, Naira Hovakimyan, Ruoyu Sun

TMLR 2023 Extended Agriculture-Vision: An Extension of a Large Aerial Image Dataset for Agricultural Pattern Analysis Jing Wu, David Pichler, Daniel Marley, Naira Hovakimyan, David A Wilson, Jennifer Hobbs

ICCV 2023 Feature Proliferation -- the "Cancer" in StyleGAN and Its Treatments Shuang Song, Yuanbang Liang, Jing Wu, Yu-Kun Lai, Yipeng Qin

ICCV 2023 Hallucination Improves the Performance of Unsupervised Visual Representation Learning Jing Wu, Jennifer Hobbs, Naira Hovakimyan

IJCAI 2023 Optimizing Crop Management with Reinforcement Learning and Imitation Learning Ran Tao, Pan Zhao, Jing Wu, Nicolas F. Martin, Matthew Tom Harrison, Carla Sofia Santos Ferreira, Zahra Kalantari, Naira Hovakimyan

NeurIPSW 2023 ReConTab: Regularized Contrastive Representation Learning for Tabular Data Suiyao Chen, Jing Wu, Naira Hovakimyan, Handong Yao

ICML 2022 Exploring and Exploiting Hubness Priors for High-Quality GAN Latent Sampling Yuanbang Liang, Jing Wu, Yu-Kun Lai, Yipeng Qin

CVPRW 2022 Optimizing Nitrogen Management with Deep Reinforcement Learning and Crop Simulations Jing Wu, Ran Tao, Pan Zhao, Nicolas F. Martin, Naira Hovakimyan

IJCAI 2021 A Survey on Universal Adversarial Attack Chaoning Zhang, Philipp Benz, Chenguo Lin, Adil Karjauv, Jing Wu, In So Kweon

ICCVW 2021 CDAda: A Curriculum Domain Adaptation for Nighttime Semantic Segmentation Qi Xu, Yinan Ma, Jing Wu, Chengnian Long, Xiaolin Huang

ICCV 2021 MLVSNet: Multi-Level Voting Siamese Network for 3D Visual Tracking Zhoutao Wang, Qian Xie, Yu-Kun Lai, Jing Wu, Kun Long, Jun Wang

ICCV 2021 Manifold Alignment for Semantically Aligned Style Transfer Jing Huo, Shiyin Jin, Wenbin Li, Jing Wu, Yu-Kun Lai, Yinghuan Shi, Yang Gao

ICCV 2021 VENet: Voting Enhancement Network for 3D Object Detection Qian Xie, Yu-Kun Lai, Jing Wu, Zhoutao Wang, Dening Lu, Mingqiang Wei, Jun Wang

ECCV 2020 Shonan Rotation Averaging: Global Optimality by Surfing SO(p)(n) Frank Dellaert, David M. Rosen, Jing Wu, Robert Mahony, Luca Carlone