Thomas H. Li

According to our database, Thomas H. Li authored at least 85 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Closing the Gap Between Theory and Practice During Alternating Optimization for GANs.

Yuanqi Chen, Shangkun Sun, Ge Li, Wei Gao, Thomas H. Li

IEEE Trans. Neural Networks Learn. Syst., October, 2024

ComPoint: Can Complex-Valued Representation Benefit Point Cloud Place Recognition?

Ruonan Zhang, Ge Li, Wei Gao, Thomas H. Li

IEEE Trans. Intell. Transp. Syst., July, 2024

Sketch-aided Interactive Fusion Point Cloud Place Recognition.

Ruonan Zhang, Xiaohang Liu, Ge Li, Thomas H. Li, Pengjun Zhao

Proceedings of the 2024 International Conference on Multimedia Retrieval, 2024

EPContrast: Effective Point-level Contrastive Learning for Large-scale Point Cloud Understanding.

Zhiyi Pan, Guoqing Liu, Wei Gao, Thomas H. Li

Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

ScanPCGC: Learning-Based Lossless Point Cloud Geometry Compression using Sequential Slice Representation.

Jiangwei Deng, Yuhao An, Thomas H. Li, Shan Liu, Ge Li

Proceedings of the IEEE International Conference on Acoustics, 2024

BT-Adapter: Video Conversation is Feasible Without Video Instruction Tuning.

Ruyang Liu, Chen Li, Yixiao Ge, Thomas H. Li, Ying Shan, Ge Li

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Mitigating Label Noise in GANs via Enhanced Spectral Normalization.

Yuanqi Chen, Cece Jin, Ge Li, Thomas H. Li, Wei Gao

IEEE Trans. Circuits Syst. Video Technol., August, 2023

Semantic Point Cloud Upsampling.

Zhuangzi Li, Ge Li, Thomas H. Li, Shan Liu, Wei Gao

IEEE Trans. Multim., 2023

StreamFlow: Streamlined Multi-Frame Optical Flow Estimation for Video Sequences.

Shangkun Sun, Jiaming Liu, Thomas H. Li, Huaxia Li, Guoqing Liu, Wei Gao

CoRR, 2023

Mug-STAN: Adapting Image-Language Pretrained Models for General Video Understanding.

Ruyang Liu, Jingjia Huang, Wei Gao, Thomas H. Li, Ge Li

CoRR, 2023

One For All: Video Conversation is Feasible Without Video Instruction Tuning.

Ruyang Liu, Chen Li, Yixiao Ge, Ying Shan, Thomas H. Li, Ge Li

CoRR, 2023

A²Nav: Action-Aware Zero-Shot Robot Navigation by Exploiting Vision-and-Language Ability of Foundation Models.

Peihao Chen, Xinyu Sun, Hongyan Zhi, Runhao Zeng, Thomas H. Li, Gaowen Liu, Mingkui Tan, Chuang Gan

CoRR, 2023

Detecting the open-world objects with the help of the Brain.

Shuailei Ma, Yuefeng Wang, Ying Wei, Peihao Chen, Zhixiang Ye, Jiaqi Fan, Enming Zhang, Thomas H. Li

CoRR, 2023

Self-Supervised Monocular Depth Estimation: Solving the Edge-Fattening Problem.

Xingyu Chen, Ruonan Zhang, Ji Jiang, Yan Wang, Ge Li, Thomas H. Li

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Frequency-Aware Self-Supervised Monocular Depth Estimation.

Xingyu Chen, Thomas H. Li, Ruonan Zhang, Ge Li

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

IPFR: Identity-Preserving Face Reenactment with Enhanced Domain Adversarial Training and Multi-level Identity Priors.

Lei Zhu, Ge Li, Yuanqi Chen, Thomas H. Li

Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

FGPrompt: Fine-grained Goal Prompting for Image-goal Navigation.

Xinyu Sun, Peihao Chen, Jugang Fan, Jian Chen, Thomas H. Li, Mingkui Tan

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Efficient Test-Time Adaptation for Super-Resolution with Second-Order Degradation and Reconstruction.

Zeshuai Deng, Zhuokun Chen, Shuaicheng Niu, Thomas H. Li, Bohan Zhuang, Mingkui Tan

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

PDE-based Progressive Prediction Framework for Attribute Compression of 3D Point Clouds.

Xiaodong Yang, Yiting Shao, Shan Liu, Thomas H. Li, Ge Li

Proceedings of the 31st ACM International Conference on Multimedia, 2023

LIO-PPF: Fast LiDAR-Inertial Odometry via Incremental Plane Pre-Fitting and Skeleton Tracking.

Xingyu Chen, Peixi Wu, Ge Li, Thomas H. Li

IROS, 2023

Causality Compensated Attention for Contextual Biased Visual Recognition.

Ruyang Liu, Jingjia Huang, Thomas H. Li, Ge Li

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Learning Vision-and-Language Navigation from YouTube Videos.

Kunyang Lin, Peihao Chen, Diwei Huang, Thomas H. Li, Mingkui Tan, Chuang Gan

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Improving Graph Representation for Point Cloud Segmentation via Attentive Filtering.

Nan Zhang, Zhiyi Pan, Thomas H. Li, Wei Gao, Ge Li

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Masked Motion Encoding for Self-Supervised Video Representation Learning.

Xinyu Sun, Peihao Chen, Liangwei Chen, Changhao Li, Thomas H. Li, Mingkui Tan, Chuang Gan

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

CAT: LoCalization and IdentificAtion Cascade Detection Transformer for Open-World Object Detection.

Shuailei Ma, Yuefeng Wang, Ying Wei, Jiaqi Fan, Thomas H. Li, Hongli Liu, Fanbing Lv

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Revisiting Temporal Modeling for CLIP-Based Image-to-Video Knowledge Transferring.

Ruyang Liu, Jingjia Huang, Ge Li, Jiashi Feng, Xinglong Wu, Thomas H. Li

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Hard Sample Matters a Lot in Zero-Shot Quantization.

Huantong Li, Xiangmiao Wu, Fanbing Lv, Daihai Liao, Thomas H. Li, Yonggang Zhang, Bo Han, Mingkui Tan

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Learning the Global Descriptor for 3-D Object Recognition Based on Multiple Views Decomposition.

Jingjia Huang, Wei Yan, Thomas H. Li, Shan Liu, Ge Li

IEEE Trans. Multim., 2022

QINet: Decision Surface Learning and Adversarial Enhancement for Quasi-Immune Completion of Diverse Corrupted Point Clouds.

Ruonan Zhang, Wei Gao, Ge Li, Thomas H. Li

IEEE Trans. Geosci. Remote. Sens., 2022

PointOT: Interpretable Geometry-Inspired Point Cloud Generative Model via Optimal Transport.

Ruonan Zhang, Jingyi Chen, Wei Gao, Ge Li, Thomas H. Li

IEEE Trans. Circuits Syst. Video Technol., 2022

Learning Disentangled Representation for Multi-View 3D Object Recognition.

Jingjia Huang, Wei Yan, Ge Li, Thomas H. Li, Shan Liu

IEEE Trans. Circuits Syst. Video Technol., 2022

Rate-Distortion Optimized Graph for Point Cloud Attribute Coding.

Fei Song, Ge Li, Wei Gao, Thomas H. Li

IEEE Signal Process. Lett., 2022

M³Video: Masked Motion Modeling for Self-Supervised Video Representation Learning.

Xinyu Sun, Peihao Chen, Liangwei Chen, Thomas H. Li, Mingkui Tan, Chuang Gan

CoRR, 2022

Geometric-Aware Calibration Mechanism for Self-Supervised Depth Estimation.

Yan Wang, Ge Li, Ruonan Zhang, Xingyu Chen, Thomas H. Li

Proceedings of the IEEE Smartworld, 2022

Weakly-Supervised Multi-Granularity Map Learning for Vision-and-Language Navigation.

Peihao Chen, Dongyu Ji, Kunyang Lin, Runhao Zeng, Thomas H. Li, Mingkui Tan, Chuang Gan

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Learning Active Camera for Multi-Object Navigation.

Peihao Chen, Dongyu Ji, Kunyang Lin, Weiwen Hu, Wenbing Huang, Thomas H. Li, Mingkui Tan, Chuang Gan

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

MOAC: Multi-level Perception Optimizer Based on Dual Augmented Cost for Structure- from-Motion.

Peixi Wu, Ge Li, Thomas H. Li

Proceedings of the 5th IEEE International Conference on Multimedia Information Processing and Retrieval, 2022

DKNAS: A Practical Deep Keypoint Extraction Framework Based on Neural Architecture Search.

Li Liu, Xing Cai, Ge Li, Thomas H. Li

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Fine-Grained Correlation Representation for Graph-Based Point Cloud Attribute Compression.

Fei Song, Ge Li, Xiaodong Yang, Wei Gao, Thomas H. Li

Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

Deep Geometry Post-Processing for Decompressed Point Clouds.

Xiaoqing Fan, Ge Li, Dingquan Li, Yurui Ren, Wei Gao, Thomas H. Li

Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

Pointivae: Invertible Variational Autoencoder Framework for 3D Point Cloud Generation.

Jingyi Chen, Ge Li, Ruonan Zhang, Thomas H. Li, Wei Gao

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Attention Guided Invariance Selection for Local Feature Descriptors.

Jiapeng Li, Ge Li, Thomas H. Li

Proceedings of the IEEE International Conference on Acoustics, 2022

Neural Texture Extraction and Distribution for Controllable Person Image Synthesis.

Yurui Ren, Xiaoqing Fan, Ge Li, Shan Liu, Thomas H. Li

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Low Pass Filter for Anti-aliasing in Temporal Action Localization.

Cece Jin, Yuanqi Chen, Ge Li, Tao Zhang, Thomas H. Li

CoRR, 2021

Combining Attention with Flow for Person Image Synthesis.

Yurui Ren, Yubo Wu, Thomas H. Li, Shan Liu, Ge Li

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Information-Growth Attention Network for Image Super-Resolution.

Zhuangzi Li, Ge Li, Thomas H. Li, Shan Liu, Wei Gao

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Rethinking Training Objective For Self-Supervised Monocular Depth Estimation: Semantic Cues To Rescue.

Keyao Li, Ge Li, Thomas H. Li

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Structure-transformed Texture-enhanced Network for Person Image Synthesis.

Munan Xu, Yuanqi Chen, Shan Liu, Thomas H. Li, Ge Li

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

PIRenderer: Controllable Portrait Image Generation via Semantic Neural Rendering.

Yurui Ren, Ge Li, Yuanqi Chen, Thomas H. Li, Shan Liu

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

ATVIO: Attention Guided Visual-Inertial Odometry.

Li Liu, Ge Li, Thomas H. Li

Proceedings of the IEEE International Conference on Acoustics, 2021

SSD-GAN: Measuring the Realness in the Spatial and Spectral Domains.

Yuanqi Chen, Ge Li, Cece Jin, Shan Liu, Thomas H. Li

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Deep Spatial Transformation for Pose-Guided Person Image Generation and Animation.

Yurui Ren, Ge Li, Shan Liu, Thomas H. Li

IEEE Trans. Image Process., 2020

Spatial-Temporal Context-Aware Online Action Detection and Prediction.

Jingjia Huang, Nannan Li, Thomas H. Li, Shan Liu, Ge Li

IEEE Trans. Circuits Syst. Video Technol., 2020

Neural saliency algorithm guide bi-directional visual perception style transfer.

Chunbiao Zhu, Wei Yan, Xing Cai, Shan Liu, Thomas H. Li, Ge Li

CAAI Trans. Intell. Technol., 2020

Vaccine-style-net: Point Cloud Completion in Implicit Continuous Function Space.

Wei Yan, Ruonan Zhang, Jing Wang, Shan Liu, Thomas H. Li, Ge Li

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

VONAS: Network Design in Visual Odometry using Neural Architecture Search.

Xing Cai, Lanqing Zhang, Chengyuan Li, Ge Li, Thomas H. Li

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Temporal-Aware SfM-Learner: Unsupervised Learning Monocular Depth and Motion from Stereo Video Clips.

Lanqing Zhang, Ge Li, Thomas H. Li

Proceedings of the 3rd IEEE Conference on Multimedia Information Processing and Retrieval, 2020

Towards Loss Balance and Consistent Model in Self-supervised Monocular Depth Estimation.

Chengyuan Li, Lanqing Zhang, Xing Cai, Keyao Li, Ge Li, Thomas H. Li

Proceedings of the 32nd IEEE International Conference on Tools with Artificial Intelligence, 2020

Twinvo: Unsupervised Learning of Monocular Visual Odometry Using Bi-Direction Twin Network.

Xing Cai, Lanqing Zhang, Chengyuan Li, Ge Li, Thomas H. Li

Proceedings of the 2020 IEEE International Conference on Multimedia & Expo Workshops, 2020

Pose Refinement: Bridging the Gap Between Unsupervised Learning and Geometric Methods for Visual Odometry.

Lanqing Zhang, Ge Li, Thomas H. Li

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

ROIMIX: Proposal-Fusion Among Multiple Images for Underwater Object Detection.

Wei-Hong Lin, Jia-Xing Zhong, Shan Liu, Thomas H. Li, Ge Li

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Regression Before Classification for Temporal Action Detection.

Cece Jin, Tao Zhang, Weijie Kong, Thomas H. Li, Ge Li

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Deep Image Spatial Transformation for Person Image Generation.

Yurui Ren, Xiaoming Yu, Junming Chen, Thomas H. Li, Ge Li

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Over-Exposure Correction via Exposure and Scene Information Disentanglement.

Yuhui Cao, Yurui Ren, Thomas H. Li, Ge Li

Proceedings of the Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30, 2020

2019

Exploiting the Value of the Center-dark Channel Prior for Salient Object Detection.

Chunbiao Zhu, Wenhao Zhang, Thomas H. Li, Shan Liu, Ge Li

ACM Trans. Intell. Syst. Technol., 2019

LECARM: Low-Light Image Enhancement Using the Camera Response Model.

Yurui Ren, Zhenqiang Ying, Thomas H. Li, Ge Li

IEEE Trans. Circuits Syst. Video Technol., 2019

Deep AutoEncoder-based Lossy Geometry Compression for Point Clouds.

Wei Yan, Yiting Shao, Shan Liu, Thomas H. Li, Zhu Li, Ge Li

CoRR, 2019

Multi-mapping Image-to-Image Translation via Learning Disentanglement.

Xiaoming Yu, Yuanqi Chen, Shan Liu, Thomas H. Li, Ge Li

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

ARMIN: Towards a More Efficient and Light-weight Recurrent Memory Network.

Zhangheng Li, Jia-Xing Zhong, Jingjia Huang, Tao Zhang, Thomas H. Li, Ge Li

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

PDNet: Prior-Model Guided Depth-Enhanced Network for Salient Object Detection.

Chunbiao Zhu, Xing Cai, Kan Huang, Thomas H. Li, Ge Li

Proceedings of the IEEE International Conference on Multimedia and Expo, 2019

Salient Contour-Aware Based Twice Learning Strategy for Saliency Detection.

Chunbiao Zhu, Wei Yan, Shan Liu, Thomas H. Li, Ge Li

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

StructureFlow: Image Inpainting via Structure-Aware Appearance Flow.

Yurui Ren, Xiaoming Yu, Ruonan Zhang, Thomas H. Li, Shan Liu, Ge Li

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Boundary Information Matters More: Accurate Temporal Action Detection with Temporal Boundary Network.

Tao Zhang, Shan Liu, Thomas H. Li, Ge Li

Proceedings of the IEEE International Conference on Acoustics, 2019

BLP - Boundary Likelihood Pinpointing Networks for Accurate Temporal Action Localization.

Weijie Kong, Nannan Li, Shan Liu, Thomas H. Li, Ge Li

Proceedings of the IEEE International Conference on Acoustics, 2019

Graph Convolutional Label Noise Cleaner: Train a Plug-And-Play Action Classifier for Anomaly Detection.

Jia-Xing Zhong, Nannan Li, Weijie Kong, Shan Liu, Thomas H. Li, Ge Li

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Real Photographs Denoising With Noise Domain Adaptation and Attentive Generative Adversarial Network.

Kai Lin, Thomas H. Li, Shan Liu, Ge Li

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2018

Detecting action tubes via spatial action estimation and temporal path inference.

Nannan Li, Jingjia Huang, Thomas H. Li, Huiwen Guo, Ge Li

Neurocomputing, 2018

Exploiting the Value of the Center-dark Channel Prior for Salient Object Detection.

Chunbiao Zhu, Wenhao Zhang, Thomas H. Li, Ge Li

CoRR, 2018

Active Temporal Action Detection in Untrimmed Videos Via Deep Reinforcement Learning.

Nannan Li, Huiwen Guo, Yang Zhao, Thomas H. Li, Ge Li

IEEE Access, 2018

Adaptive Integration Skip Compensation Neural Networks for Removing Mixed Noise in Image.

Kai Lin, Yiwei Zhang, Thomas H. Li, Kan Huang, Ge Li

Proceedings of the Advances in Multimedia Information Processing - PCM 2018, 2018

Deep Pedestrian Detection Using Contextual Information and Multi-level Features.

Weijie Kong, Nannan Li, Thomas H. Li, Ge Li

Proceedings of the MultiMedia Modeling - 24th International Conference, 2018

Step-by-step Erasion, One-by-one Collection: A Weakly Supervised Temporal Action Detector.

Jia-Xing Zhong, Nannan Li, Weijie Kong, Tao Zhang, Thomas H. Li, Ge Li

Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018

Online Action Tube Detection via Resolving the Spatio-temporal Context Pattern.

Jingjia Huang, Nannan Li, Jia-Xing Zhong, Thomas H. Li, Ge Li

Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018

SingleGAN: Image-to-Image Translation by a Single-Generator Network Using Multiple Generative Adversarial Learning.

Xiaoming Yu, Xing Cai, Zhenqiang Ying, Thomas H. Li, Ge Li

Proceedings of the Computer Vision - ACCV 2018, 2018

2017

Towards Automatic Wild Animal Detection in Low Quality Camera-Trap Images Using Two-Channeled Perceiving Residual Pyramid Networks.

Chunbiao Zhu, Thomas H. Li, Ge Li

Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017