Li, Hongsheng

PointRCNN: 3D Object Proposal Generation and Detection From Point Cloud

Shi, S., Wang, X., & Li, H. (2019) · 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network Applications3D Shape Modeling and Analysis

Cited by 3,093

StackGAN: Text to Photo-Realistic Image Synthesis with Stacked Generative Adversarial Networks

Zhang, H., Xu, T., Li, H., Zhang, S., Wang, X., Huang, X., & Metaxas, D. (2017) · 2017 IEEE International Conference on Computer Vision (ICCV)

Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications

Cited by 3,021

PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection

Shi, S., Guo, C., Jiang, L., Wang, Z., Shi, J., Wang, X., & Li, H. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network Applications3D Shape Modeling and Analysis

Cited by 2,341

InternImage: Exploring Large-Scale Vision Foundation Models with Deformable Convolutions

Wang, W., Dai, J., Chen, Z., Huang, Z., Li, Z., Zhu, X., Hu, X., Lu, T., Lu, L., Li, H., et al. (2023) · 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 1,080

T-CNN: Tubelets With Convolutional Neural Networks for Object Detection From Videos

Kang, K., Li, H., Yan, J., Zeng, X., Yang, B., Xiao, T., Zhang, C., Wang, Z., Wang, R., Wang, X., et al. (2018) · IEEE Transactions on Circuits and Systems for Video Technology

Advanced Neural Network ApplicationsVisual Attention and Saliency Detection

Cited by 554

Bi-directional Cross-Modality Feature Propagation with Separation-and-Aggregation Gate for RGB-D Semantic Segmentation

Chen, X., Lin, K.-Y., Wang, J., Wu, W., Qian, C., Li, H., & Zeng, G. (2020) · Lecture Notes in Computer Science

Advanced Neural Network ApplicationsAdvanced Vision and Imaging

Cited by 488

Online Multi-object Tracking Using CNN-Based Single Object Tracker with Spatial-Temporal Attention Mechanism

Chu, Q., Ouyang, W., Li, H., Wang, X., Liu, B., & Yu, N. (2017) · 2017 IEEE International Conference on Computer Vision (ICCV)

Video Surveillance and Tracking MethodsAdvanced Neural Network Applications

Cited by 406

Frozen CLIP Models are Efficient Video Learners

Lin, Z., Geng, S., Zhang, R., Gao, P., de Melo, G., Wang, X., Dai, J., Qiao, Y., & Li, H. (2022) · Lecture Notes in Computer Science

Human Pose and Action RecognitionMultimodal Machine Learning Applications

Cited by 213

Single View Stereo Matching

Luo, Y., Ren, J., Lin, M., Pang, J., Sun, W., Li, H., & Lin, L. (2018) · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition

Advanced Vision and ImagingAdvanced Neural Network Applications

Cited by 205

Crafting GBD-Net for Object Detection

Zeng, X., Ouyang, W., Yan, J., Li, H., Xiao, T., Wang, K., Liu, Y., Zhou, Y., Yang, B., Wang, Z., et al. (2018) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Advanced Neural Network ApplicationsAdvanced Image and Video Retrieval Techniques

Cited by 142

Dynamic Graph Representation Learning for Video Dialog via Multi-Modal Shuffled Transformers

Geng, S., Gao, P., Chatterjee, M., Hori, C., Le Roux, J., Zhang, Y., Li, H., & Cherian, A. (2021) · Proceedings of the AAAI Conference on Artificial Intelligence

Multimodal Machine Learning ApplicationsSpeech and dialogue systems

Cited by 38

Human Preference Score v2: A Solid Benchmark for Evaluating Human Preferences of Text-to-Image Synthesis

Wu, X., Hao, Y., Sun, K., Chen, Y., Zhu, F., Zhao, R., & Li, H. (2023) · arXiv

Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications

Cited by 22