Huang, Thomas S.

Least-Squares Fitting of Two 3-D Point Sets

Arun, K. S., Huang, T. S., & Blostein, S. D. (1987) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Statistical and numerical algorithms3D Shape Modeling and Analysis

Cited by 3,952

Locality-constrained Linear Coding for image classification

Wang, J., Yang, J., Yu, K., Lv, F., Huang, T., & Gong, Y. (2010) · 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition

Advanced Image and Video Retrieval TechniquesImage Retrieval and Classification Techniques

Cited by 3,100

A Survey of Affect Recognition Methods: Audio, Visual, and Spontaneous Expressions

Zeng, Z., Pantic, M., Roisman, G. I., & Huang, T. S. (2009) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Emotion and Mood RecognitionSentiment Analysis and Opinion Mining

Cited by 2,797

UnitBox: An Advanced Object Detection Network

Yu, J., Jiang, Y., Wang, Z., Cao, Z., & Huang, T. (2016) · Proceedings of the 24th ACM international conference on Multimedia

Advanced Neural Network ApplicationsFace recognition and analysis

Cited by 1,731

HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation

Cheng, B., Xiao, B., Wang, J., Shi, H., Huang, T. S., & Zhang, L. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Human Pose and Action RecognitionAdvanced Neural Network Applications

Cited by 1,023

Facial expression recognition from video sequences: temporal and static modeling

Cohen, I., Sebe, N., Garg, A., Chen, L. S., & Huang, T. S. (2003) · Computer Vision and Image Understanding

Emotion and Mood RecognitionFace recognition and analysis

Cited by 874

Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation

Cheng, B., Collins, M. D., Zhu, Y., Liu, T., Huang, T. S., Adam, H., & Chen, L.-C. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 635

A generalization of median filtering using linear combinations of order statistics

Bovik, A., Huang, T., & Munson, D. (1983) · IEEE Transactions on Acoustics, Speech, and Signal Processing

Image and Signal Denoising MethodsAdvanced Adaptive Filtering Techniques

Cited by 580

CCNet: Criss-Cross Attention for Semantic Segmentation

Huang, Z., Wang, X., Wei, Y., Huang, L., Shi, H., Liu, W., & Huang, T. S. (2023) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Advanced Neural Network ApplicationsVisual Attention and Saliency Detection

Cited by 524

Deep Interactive Object Selection

Xu, N., Price, B., Cohen, S., Yang, J., & Huang, T. (2016) · 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsMedical Image Segmentation Techniques

Cited by 460

Dysarthric speech database for universal access research

Kim, H., Hasegawa-Johnson, M., Perlman, A., Gunderson, J., Huang, T. S., Watkin, K., & Frame, S. (2008) · Interspeech 2008

Speech Recognition and SynthesisVoice and Speech Disorders

Cited by 397

YouTube-VOS: A Large-Scale Video Object Segmentation Benchmark

Xu, N., Yang, L., Fan, Y., Yue, D., Liang, Y., Yang, J., & Huang, T. (2018) · arXiv

Advanced Neural Network ApplicationsVisual Attention and Saliency Detection

Cited by 301

Do Deep Neural Networks Learn Facial Action Units When Doing Expression Recognition?

Khorrami, P., Paine, T. L., & Huang, T. S. (2015) · 2015 IEEE International Conference on Computer Vision Workshop (ICCVW)

Emotion and Mood RecognitionFace recognition and analysis

Cited by 285

Revisiting RCNN: On Awakening the Classification Power of Faster RCNN

Cheng, B., Wei, Y., Shi, H., Feris, R., Xiong, J., & Huang, T. (2018) · Lecture Notes in Computer Science

Advanced Neural Network ApplicationsAdvanced Image and Video Retrieval Techniques

Cited by 282

Authentic facial expression analysis

Sebe, N., Lew, M. S., Sun, Y., Cohen, I., Gevers, T., & Huang, T. S. (2007) · Image and Vision Computing

Emotion and Mood RecognitionFace and Expression Recognition

Cited by 257

Studying Very Low Resolution Recognition Using Deep Networks

Wang, Z., Chang, S., Yang, Y., Liu, D., & Huang, T. S. (2016) · 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsAdvanced Image Processing Techniques

Cited by 235

Affective multimodal human-computer interaction

Pantic, M., Sebe, N., Cohn, J. F., & Huang, T. (2005) · Proceedings of the 13th annual ACM international conference on Multimedia

Emotion and Mood RecognitionSocial Robot Interaction and HRI

Cited by 234

Emotion Recognition Based on Joint Visual and Audio Cues

Sebe, N., Cohen, I., Gevers, T., & Huang, T. S. (2006) · 18th International Conference on Pattern Recognition (ICPR'06)

Emotion and Mood RecognitionSpeech and Audio Processing

Cited by 202

MULTIMODAL EMOTION RECOGNITION

Sebe, N., Cohen, I., & Huang, T. S. (2005) · Handbook of Pattern Recognition and Computer Vision

Emotion and Mood RecognitionSentiment Analysis and Opinion Mining

Cited by 201

Multimodal human emotion/expression recognition

Chen, L. S., Huang, T. S., Miyasato, T., & Nakatsu, R. (2002) · Proceedings Third IEEE International Conference on Automatic Face and Gesture Recognition

Emotion and Mood RecognitionSpeech and Audio Processing

Cited by 183

Learning Bayesian network classifiers for facial expression recognition both labeled and unlabeled data

Cohen, I., Sebe, N., Gozman, F. G., Cirelo, M. C., & Huang, T. S. (2003) · 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings.

Bayesian Modeling and Causal InferenceEmotion and Mood Recognition

Cited by 155

A survey of affect recognition methods: audio, visual and spontaneous expressions

Zeng, Z., Pantic, M., Roisman, G. I., & Huang, T. S. (2007) · Proceedings of the 9th international conference on Multimodal interfaces

Emotion and Mood RecognitionSentiment Analysis and Opinion Mining

Cited by 144

3D facial expression recognition based on automatically selected features

Tang, H., & Huang, T. S. (2008) · 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops

Face recognition and analysisFace and Expression Recognition

Cited by 140

Multi-Modal Audio, Video and Physiological Sensor Learning for Continuous Emotion Prediction

Brady, K., Gwon, Y., Khorrami, P., Godoy, E., Campbell, W., Dagli, C., & Huang, T. S. (2016) · Proceedings of the 6th International Workshop on Audio/Visual Emotion Challenge

Emotion and Mood RecognitionSpeech and Audio Processing

Cited by 110