Chen Huang

Affiliations:
  • Apple Inc., Cupertino, CA, USA
  • Carnegie Mellon University, Robotics Institute, Pittsburgh, PA, USA (2016 - 2017)
  • Chinese University of Hong Kong, Hong Kong (2014 - 2016)
  • Tsinghua University, Department of Electronic Engineering, Beijing, China (PhD 2014)


According to our database1, Chen Huang authored at least 42 papers between 2010 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2024
Aggregate-and-Adapt Natural Language Prompts for Downstream Generalization of CLIP.
CoRR, 2024

How JEPA Avoids Noisy Features: The Implicit Bias of Deep Linear Self Distillation Networks.
CoRR, 2024

Overcoming the Pitfalls of Vision-Language Model Finetuning for OOD Generalization.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

LiDAR: Sensing Linear Probing Performance in Joint Embedding SSL Architectures.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
Semi-Supervised and Long-Tailed Object Detection with CascadeMatch.
Int. J. Comput. Vis., April, 2023

Adaptivity and Modularity for Efficient Generalization Over Task Complexity.
CoRR, 2023

DUET: 2D Structured and Approximately Equivariant Representations.
Proceedings of the International Conference on Machine Learning, 2023

MAST: Masked Augmentation Subspace Training for Generalizable Self-Supervised Priors.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
Unified Vision and Language Prompt Learning.
CoRR, 2022

Position Prediction as an Effective Pretraining Strategy.
Proceedings of the International Conference on Machine Learning, 2022

Efficient Representation Learning via Adaptive Context Pooling.
Proceedings of the International Conference on Machine Learning, 2022

Open-Vocabulary DETR with Conditional Matching.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
Mask-aware photorealistic facial attribute manipulation.
Comput. Vis. Media, 2021

An Attention Free Transformer.
CoRR, 2021

FASA: Feature Augmentation and Sampling Adaptation for Long-Tailed Instance Segmentation.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

MetricOpt: Learning To Optimize Black-Box Evaluation Metrics.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Deep Imbalanced Learning for Face Recognition and Attribute Prediction.
IEEE Trans. Pattern Anal. Mach. Intell., 2020

2019
Addressing the Loss-Metric Mismatch with Adaptive Loss Alignment.
Proceedings of the 36th International Conference on Machine Learning, 2019

Not All Areas Are Equal: Transfer Learning for Semantic Segmentation via Hierarchical Region Selection.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Dense Intrinsic Appearance Flow for Human Pose Transfer.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Discriminative Sparse Neighbor Approximation for Imbalanced Learning.
IEEE Trans. Neural Networks Learn. Syst., 2018

Mask-aware Photorealistic Face Attribute Manipulation.
CoRR, 2018

Ensemble Knowledge Transfer for Semantic Segmentation.
Proceedings of the 2018 IEEE Winter Conference on Applications of Computer Vision, 2018

Pose Guided Human Video Generation.
Proceedings of the Computer Vision - ECCV 2018, 2018

2017
An Human-Computer Interactive Augmented Reality System for Coronary Artery Diagnosis Planning and Training.
J. Medical Syst., 2017

CNNs are Globally Optimal Given Multi-Layer Support.
CoRR, 2017

HCI Based on Gesture Recognition in an Augmented Reality System for Diagnosis Planning and Training.
Proceedings of the Intelligence Science I, 2017

Learning to Disambiguate by Asking Discriminative Questions.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Learning Policies for Adaptive Tracking with Deep Feature Cascades.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Need for Speed: A Benchmark for Higher Frame Rate Object Tracking.
Proceedings of the IEEE International Conference on Computer Vision, 2017

2016
Local Similarity-Aware Deep Feature Embedding.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Human Attribute Recognition by Deep Hierarchical Contexts.
Proceedings of the Computer Vision - ECCV 2016, 2016

Unsupervised Learning of Discriminative Attributes and Visual Representations.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Learning Deep Representation for Imbalanced Classification.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015
Deeply Learned Rich Coding for Cross-Dataset Facial Age Estimation.
Proceedings of the 2015 IEEE International Conference on Computer Vision Workshop, 2015

2014
Robust Image Restoration via Adaptive Low-Rank Approximation and Joint Kernel Regression.
IEEE Trans. Image Process., 2014

Generalized joint kernel regression and adaptive dictionary learning for single-image super-resolution.
Signal Process., 2014

2013
Single-Image Super-Resolution via Adaptive Joint Kernel Regression.
Proceedings of the British Machine Vision Conference, 2013

2012
Pose robust face tracking by combining view-based AAMs and temporal filters.
Comput. Vis. Image Underst., 2012

Robust 3D human face reconstruction by consumer binocular-stereo cameras.
Proceedings of the Virtual Reality Continuum and its Applications in Industry, 2012

2010
Head Pose Estimation Based on Random Forests for Multiclass Classification.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

A word language model based contextual language processing on Chinese character recognition.
Proceedings of the Document Recognition and Retrieval XVII, 2010


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