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 002 (ICCV Workshops, 2017)

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 002 (ACCV (5), 2018)

Online Action Tube Detection via Resolving the Spatio-temporal Context Pattern. - Jingjia Huang; Nannan Li 001; Jia-Xing Zhong; Thomas H. Li; Ge Li 002 (ACM Multimedia, 2018)

Step-by-step Erasion, One-by-one Collection: A Weakly Supervised Temporal Action Detector. - Jia-Xing Zhong; Nannan Li 001; Weijie Kong; Tao Zhang 069; Thomas H. Li; Ge Li 002 (ACM Multimedia, 2018)

Deep Pedestrian Detection Using Contextual Information and Multi-level Features. - Weijie Kong; Nannan Li 001; Thomas H. Li; Ge Li 002 (MMM (1), 2018)

Adaptive Integration Skip Compensation Neural Networks for Removing Mixed Noise in Image. - Kai Lin; Yiwei Zhang; Thomas H. Li; Kan Huang; Ge Li 002 (PCM (1), 2018)

Active Temporal Action Detection in Untrimmed Videos Via Deep Reinforcement Learning. - Nannan Li 001; Huiwen Guo; Yang Zhao 002; Thomas H. Li; Ge Li 002 (IEEE Access, 2018)

Exploiting the Value of the Center-dark Channel Prior for Salient Object Detection. - Chunbiao Zhu; Wenhao Zhang; Thomas H. Li; Ge Li 002 (CoRR, 2018)

Detecting action tubes via spatial action estimation and temporal path inference. - Nannan Li 001; Jingjia Huang; Thomas H. Li; Huiwen Guo; Ge Li 002 (Neurocomputing, 2018)

Real Photographs Denoising With Noise Domain Adaptation and Attentive Generative Adversarial Network. - Kai Lin; Thomas H. Li; Shan Liu 001; Ge Li 002 (CVPR Workshops, 2019)

Graph Convolutional Label Noise Cleaner: Train a Plug-And-Play Action Classifier for Anomaly Detection. - Jia-Xing Zhong; Nannan Li 001; Weijie Kong; Shan Liu 001; Thomas H. Li; Ge Li 002 (CVPR, 2019)

BLP - Boundary Likelihood Pinpointing Networks for Accurate Temporal Action Localization. - Weijie Kong; Nannan Li 001; Shan Liu 001; Thomas H. Li; Ge Li 002 (ICASSP, 2019)

Boundary Information Matters More: Accurate Temporal Action Detection with Temporal Boundary Network. - Tao Zhang 069; Shan Liu 001; Thomas H. Li; Ge Li 002 (ICASSP, 2019)

StructureFlow: Image Inpainting via Structure-Aware Appearance Flow. - Yurui Ren; Xiaoming Yu; Ruonan Zhang 002; Thomas H. Li; Shan Liu 001; Ge Li 002 (ICCV, 2019)

Salient Contour-Aware Based Twice Learning Strategy for Saliency Detection. - Chunbiao Zhu; Wei Yan; Shan Liu 001; Thomas H. Li; Ge Li 002 (ICCV Workshops, 2019)

PDNet: Prior-Model Guided Depth-Enhanced Network for Salient Object Detection. - Chunbiao Zhu; Xing Cai; Kan Huang; Thomas H. Li; Ge Li 002 (ICME, 2019)

ARMIN: Towards a More Efficient and Light-weight Recurrent Memory Network. - Zhangheng Li; Jia-Xing Zhong; Jingjia Huang; Tao Zhang 069; Thomas H. Li; Ge Li 002 (IJCAI, 2019)

Multi-mapping Image-to-Image Translation via Learning Disentanglement. - Xiaoming Yu; Yuanqi Chen; Shan Liu 001; Thomas H. Li; Ge Li 002 (NeurIPS, 2019)

Deep AutoEncoder-based Lossy Geometry Compression for Point Clouds. - Wei Yan; Yiting Shao; Shan Liu 001; Thomas H. Li; Zhu Li 001; Ge Li 002 (CoRR, 2019)

LECARM: Low-Light Image Enhancement Using the Camera Response Model. - Yurui Ren; Zhenqiang Ying; Thomas H. Li; Ge Li 002 (IEEE Trans. Circuits Syst. Video Technol., 2019)

Exploiting the Value of the Center-dark Channel Prior for Salient Object Detection. - Chunbiao Zhu; Wenhao Zhang; Thomas H. Li; Shan Liu 001; Ge Li 002 (ACM Trans. Intell. Syst. Technol., 2019)

Over-Exposure Correction via Exposure and Scene Information Disentanglement. - Yuhui Cao; Yurui Ren; Thomas H. Li; Ge Li 002 (ACCV (4), 2020)

Deep Image Spatial Transformation for Person Image Generation. - Yurui Ren; Xiaoming Yu; Junming Chen; Thomas H. Li; Ge Li 002 (CVPR, 2020)

Regression Before Classification for Temporal Action Detection. - Cece Jin; Tao Zhang 069; Weijie Kong; Thomas H. Li; Ge Li 002 (ICASSP, 2020)

ROIMIX: Proposal-Fusion Among Multiple Images for Underwater Object Detection. - Wei-Hong Lin; Jia-Xing Zhong; Shan Liu 001; Thomas H. Li; Ge Li 002 (ICASSP, 2020)

Pose Refinement: Bridging the Gap Between Unsupervised Learning and Geometric Methods for Visual Odometry. - Lanqing Zhang; Ge Li 002; Thomas H. Li (ICASSP, 2020)

Twinvo: Unsupervised Learning of Monocular Visual Odometry Using Bi-Direction Twin Network. - Xing Cai; Lanqing Zhang; Chengyuan Li; Ge Li 002; Thomas H. Li (ICME Workshops, 2020)

Towards Loss Balance and Consistent Model in Self-supervised Monocular Depth Estimation. - Chengyuan Li; Lanqing Zhang; Xing Cai; Keyao Li; Ge Li 002; Thomas H. Li (ICTAI, 2020)

Temporal-Aware SfM-Learner: Unsupervised Learning Monocular Depth and Motion from Stereo Video Clips. - Lanqing Zhang; Ge Li 002; Thomas H. Li (MIPR, 2020)

VONAS: Network Design in Visual Odometry using Neural Architecture Search. - Xing Cai; Lanqing Zhang; Chengyuan Li; Ge Li 002; Thomas H. Li (ACM Multimedia, 2020)

Vaccine-style-net: Point Cloud Completion in Implicit Continuous Function Space. - Wei Yan; Ruonan Zhang 002; Jing Wang 115; Shan Liu 001; Thomas H. Li; Ge Li 002 (ACM Multimedia, 2020)

Neural saliency algorithm guide bi-directional visual perception style transfer. - Chunbiao Zhu; Wei Yan; Xing Cai; Shan Liu 001; Thomas H. Li; Ge Li 002 (CAAI Trans. Intell. Technol., 2020)

Spatial-Temporal Context-Aware Online Action Detection and Prediction. - Jingjia Huang; Nannan Li 001; Thomas H. Li; Shan Liu 001; Ge Li 002 (IEEE Trans. Circuits Syst. Video Technol., 2020)

Deep Spatial Transformation for Pose-Guided Person Image Generation and Animation. - Yurui Ren; Ge Li 002; Shan Liu 001; Thomas H. Li (IEEE Trans. Image Process., 2020)

SSD-GAN: Measuring the Realness in the Spatial and Spectral Domains. - Yuanqi Chen; Ge Li 002; Cece Jin; Shan Liu 001; Thomas H. Li (AAAI, 2021)

ATVIO: Attention Guided Visual-Inertial Odometry. - Li Liu; Ge Li 002; Thomas H. Li (ICASSP, 2021)

PIRenderer: Controllable Portrait Image Generation via Semantic Neural Rendering. - Yurui Ren; Ge Li 002; Yuanqi Chen; Thomas H. Li; Shan Liu 001 (ICCV, 2021)

Structure-transformed Texture-enhanced Network for Person Image Synthesis. - Munan Xu; Yuanqi Chen; Shan Liu 001; Thomas H. Li; Ge Li 002 (ICCV, 2021)

Rethinking Training Objective For Self-Supervised Monocular Depth Estimation: Semantic Cues To Rescue. - Keyao Li; Ge Li 002; Thomas H. Li (ICIP, 2021)

Information-Growth Attention Network for Image Super-Resolution. - Zhuangzi Li; Ge Li 002; Thomas H. Li; Shan Liu 001; Wei Gao 003 (ACM Multimedia, 2021)

Combining Attention with Flow for Person Image Synthesis. - Yurui Ren; Yubo Wu; Thomas H. Li; Shan Liu 001; Ge Li 002 (ACM Multimedia, 2021)

Low Pass Filter for Anti-aliasing in Temporal Action Localization. - Cece Jin; Yuanqi Chen; Ge Li 002; Tao Zhang 069; Thomas H. Li (CoRR, 2021)

Neural Texture Extraction and Distribution for Controllable Person Image Synthesis. - Yurui Ren; Xiaoqing Fan; Ge Li 002; Shan Liu 001; Thomas H. Li (CVPR, 2022)

Attention Guided Invariance Selection for Local Feature Descriptors. - Jiapeng Li; Ge Li 002; Thomas H. Li (ICASSP, 2022)

Pointivae: Invertible Variational Autoencoder Framework for 3D Point Cloud Generation. - Jingyi Chen; Ge Li 002; Ruonan Zhang 002; Thomas H. Li; Wei Gao 003 (ICIP, 2022)

Deep Geometry Post-Processing for Decompressed Point Clouds. - Xiaoqing Fan; Ge Li 002; Dingquan Li; Yurui Ren; Wei Gao 003; Thomas H. Li (ICME, 2022)

Fine-Grained Correlation Representation for Graph-Based Point Cloud Attribute Compression. - Fei Song; Ge Li 002; Xiaodong Yang; Wei Gao 003; Thomas H. Li (ICME, 2022)

DKNAS: A Practical Deep Keypoint Extraction Framework Based on Neural Architecture Search. - Li Liu; Xing Cai; Ge Li 002; Thomas H. Li (ICRA, 2022)

MOAC: Multi-level Perception Optimizer Based on Dual Augmented Cost for Structure- from-Motion. - Peixi Wu; Ge Li 002; Thomas H. Li (MIPR, 2022)

Learning Active Camera for Multi-Object Navigation. - Peihao Chen; Dongyu Ji; Kunyang Lin; Weiwen Hu; Wenbing Huang 001; Thomas H. Li; Mingkui Tan; Chuang Gan 001 (NeurIPS, 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 001 (NeurIPS, 2022)

Geometric-Aware Calibration Mechanism for Self-Supervised Depth Estimation. - Yan Wang; Ge Li 002; Ruonan Zhang 002; Xingyu Chen; Thomas H. Li (SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta, 2022)

M3Video: Masked Motion Modeling for Self-Supervised Video Representation Learning. - Xinyu Sun; Peihao Chen; Liangwei Chen; Thomas H. Li; Mingkui Tan; Chuang Gan 001 (CoRR, 2022)

Rate-Distortion Optimized Graph for Point Cloud Attribute Coding. - Fei Song; Ge Li 002; Wei Gao 003; Thomas H. Li (IEEE Signal Process. Lett., 2022)

Learning Disentangled Representation for Multi-View 3D Object Recognition. - Jingjia Huang; Wei Yan; Ge Li 002; Thomas H. Li; Shan Liu 001 (IEEE Trans. Circuits Syst. Video Technol., 2022)

PointOT: Interpretable Geometry-Inspired Point Cloud Generative Model via Optimal Transport. - Ruonan Zhang 002; Jingyi Chen; Wei Gao 003; Ge Li 002; Thomas H. Li (IEEE Trans. Circuits Syst. Video Technol., 2022)

QINet: Decision Surface Learning and Adversarial Enhancement for Quasi-Immune Completion of Diverse Corrupted Point Clouds. - Ruonan Zhang 002; Wei Gao 003; Ge Li 002; Thomas H. Li (IEEE Trans. Geosci. Remote. Sens., 2022)

Learning the Global Descriptor for 3-D Object Recognition Based on Multiple Views Decomposition. - Jingjia Huang; Wei Yan; Thomas H. Li; Shan Liu 001; Ge Li 002 (IEEE Trans. Multim., 2022)

Hard Sample Matters a Lot in Zero-Shot Quantization. - Huantong Li; Xiangmiao Wu; Fanbing Lv; Daihai Liao; Thomas H. Li; Yonggang Zhang 003; Bo Han 003; Mingkui Tan (CVPR, 2023)

Revisiting Temporal Modeling for CLIP-Based Image-to-Video Knowledge Transferring. - Ruyang Liu; Jingjia Huang; Ge Li 002; Jiashi Feng; Xinglong Wu; Thomas H. Li (CVPR, 2023)

CAT: LoCalization and IdentificAtion Cascade Detection Transformer for Open-World Object Detection. - Shuailei Ma; Yuefeng Wang; Ying Wei 007; Jiaqi Fan; Thomas H. Li; Hongli Liu; Fanbing Lv (CVPR, 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 001 (CVPR, 2023)

Improving Graph Representation for Point Cloud Segmentation via Attentive Filtering. - Nan Zhang 015; Zhiyi Pan 001; Thomas H. Li; Wei Gao 003; Ge Li 002 (CVPR, 2023)

Learning Vision-and-Language Navigation from YouTube Videos. - Kunyang Lin; Peihao Chen; Diwei Huang; Thomas H. Li; Mingkui Tan; Chuang Gan 001 (ICCV, 2023)

Causality Compensated Attention for Contextual Biased Visual Recognition. - Ruyang Liu; Jingjia Huang; Thomas H. Li; Ge Li 002 (ICLR, 2023)

LIO-PPF: Fast LiDAR-Inertial Odometry via Incremental Plane Pre-Fitting and Skeleton Tracking. - Xingyu Chen; Peixi Wu; Ge Li 002; Thomas H. Li (IROS, 2023)

PDE-based Progressive Prediction Framework for Attribute Compression of 3D Point Clouds. - Xiaodong Yang; Yiting Shao; Shan Liu 001; Thomas H. Li; Ge Li 002 (ACM Multimedia, 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 (NeurIPS, 2023)

FGPrompt: Fine-grained Goal Prompting for Image-goal Navigation. - Xinyu Sun; Peihao Chen; Jugang Fan; Jian Chen 011; Thomas H. Li; Mingkui Tan (NeurIPS, 2023)

IPFR: Identity-Preserving Face Reenactment with Enhanced Domain Adversarial Training and Multi-level Identity Priors. - Lei Zhu; Ge Li 002; Yuanqi Chen; Thomas H. Li (PRCV (10), 2023)

Frequency-Aware Self-Supervised Monocular Depth Estimation. - Xingyu Chen; Thomas H. Li; Ruonan Zhang 002; Ge Li 002 (WACV, 2023)

Self-Supervised Monocular Depth Estimation: Solving the Edge-Fattening Problem. - Xingyu Chen; Ruonan Zhang 002; Ji Jiang; Yan Wang; Ge Li 002; Thomas H. Li (WACV, 2023)

Detecting the open-world objects with the help of the Brain. - Shuailei Ma; Yuefeng Wang; Ying Wei 007; Peihao Chen; Zhixiang Ye; Jiaqi Fan; Enming Zhang; Thomas H. 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 001 (CoRR, 2023)

One For All: Video Conversation is Feasible Without Video Instruction Tuning. - Ruyang Liu; Chen Li 046; Yixiao Ge; Ying Shan; Thomas H. Li; Ge Li 002 (CoRR, 2023)

Mug-STAN: Adapting Image-Language Pretrained Models for General Video Understanding. - Ruyang Liu; Jingjia Huang; Wei Gao 003; Thomas H. Li; Ge Li 002 (CoRR, 2023)

Semantic Point Cloud Upsampling. - Zhuangzi Li; Ge Li 002; Thomas H. Li; Shan Liu 001; Wei Gao 003 (IEEE Trans. Multim., 2023)

Mitigating Label Noise in GANs via Enhanced Spectral Normalization. - Yuanqi Chen; Cece Jin; Ge Li 002; Thomas H. Li; Wei Gao 003 (IEEE Trans. Circuits Syst. Video Technol., 2023)

BT-Adapter: Video Conversation is Feasible Without Video Instruction Tuning. - Ruyang Liu; Chen Li 046; Yixiao Ge; Thomas H. Li; Ying Shan; Ge Li 002 (CVPR, 2024)

ScanPCGC: Learning-Based Lossless Point Cloud Geometry Compression using Sequential Slice Representation. - Jiangwei Deng; Yuhao An; Thomas H. Li; Shan Liu 001; Ge Li 002 (ICASSP, 2024)

EPContrast: Effective Point-level Contrastive Learning for Large-scale Point Cloud Understanding. - Zhiyi Pan 001; Guoqing Liu; Wei Gao 003; Thomas H. Li (ICME, 2024)

Sketch-aided Interactive Fusion Point Cloud Place Recognition. - Ruonan Zhang 002; Xiaohang Liu; Ge Li 002; Thomas H. Li; Pengjun Zhao (ICMR, 2024)

StreamFlow: Streamlined Multi-Frame Optical Flow Estimation for Video Sequences. - Shangkun Sun; Jiaming Liu; Huaxia Li; Guoqing Liu; Thomas H. Li; Wei Gao 003 (NeurIPS, 2024)

Garden city: A synthetic dataset and sandbox environment for analysis of pre-processing algorithms for GPS human mobility data. - Thomas H. Li; Francisco Barreras (CoRR, 2024)

ComPoint: Can Complex-Valued Representation Benefit Point Cloud Place Recognition? - Ruonan Zhang 002; Ge Li 002; Wei Gao 003; Thomas H. Li (IEEE Trans. Intell. Transp. Syst., 2024)

Closing the Gap Between Theory and Practice During Alternating Optimization for GANs. - Yuanqi Chen; Shangkun Sun; Ge Li 002; Wei Gao 003; Thomas H. Li (IEEE Trans. Neural Networks Learn. Syst., 2024)

Learning Semantic Facial Descriptors for Accurate Face Animation. - Lei Zhu; Yuanqi Chen; Xiaohang Liu; Thomas H. Li; Ge Li (ICASSP, 2025)

SPU+: Dimension Folding for Semantic Point Cloud Upsampling. - Zhuangzi Li; Thomas H. Li; Shan Liu 001; Ge Li 002 (IEEE Trans. Image Process., 2025)

SDE2D: Semantic-Guided Discriminability Enhancement Feature Detector and Descriptor. - Jiapeng Li; Ruonan Zhang 002; Ge Li 002; Thomas H. Li (IEEE Trans. Multim., 2025)

Learning Semantic Facial Descriptors for Accurate Face Animation. - Lei Zhu; Yuanqi Chen; Xiaohang Liu; Thomas H. Li; Ge Li 002 (CoRR, 2025)