Minghao Chen

发表

CRFL: Certifiably Robust Federated Learning against Backdoor Attacks

Minghao Chen, Pin-Yu Chen, Chulin Xie, 2021, ICML.

Expanding Language-Image Pretrained Models for General Video Recognition

Haibin Ling, Minghao Chen, Jianlong Fu, 2022, ECCV.

Self-supervised and Weakly Supervised Contrastive Learning for Frame-wise Action Representations

Minghao Chen, Boxi Wu, Deng Cai, 2022, ArXiv.

KD3A: Unsupervised Multi-Source Decentralized Domain Adaptation via Knowledge Distillation pdf

Minghao Chen, Minfeng Zhu, Wei Chen, 2020, ICML.

Training-Free Layout Control with Cross-Attention Guidance

A. Vedaldi, Minghao Chen, Iro Laina, 2023, ArXiv.

CLIP is Also an Efficient Segmenter: A Text-Driven Approach for Weakly Supervised Semantic Segmentation

Xiaofei He, Minghao Chen, Binbin Lin, 2022, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

AutoFormer: Searching Transformers for Visual Recognition pdf

Minghao Chen, Haibin Ling, Jianlong Fu, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

Rethinking and Improving Relative Position Encoding for Vision Transformer pdf

Hongyang Chao, Minghao Chen, Houwen Peng, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

PVT-SSD: Single-Stage 3D Object Detector with Point-Voxel Transformer

Wanli Ouyang, Xiaofei He, Minghao Chen, 2023, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Adversarial-Learned Loss for Domain Adaptation

Deng Cai, Minghao Chen, Shuai Zhao, 2020, AAAI.

Accelerate CNNs from Three Dimensions: A Comprehensive Pruning Framework

Xiaofei He, Minghao Chen, Deng Cai, 2020, ICML.

Suppress-and-Refine Framework for End-to-End 3d Object Detection

Minghao Chen, Guodong Xu, Kuoliang Wu, 2021, SSRN Electronic Journal.

Domain Adaptation for Semantic Segmentation With Maximum Squares Loss

Deng Cai, Hongyang Xue, Minghao Chen, 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).

Frame-wise Action Representations for Long Videos via Sequence Contrastive Learning

Minghao Chen, Deng Cai, Fangyun Wei, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Reducing the Teacher-Student Gap via Spherical Knowledge Disitllation

Yao Hu, Xiaofei He, Minghao Chen, 2020 .

One-Shot Neural Ensemble Architecture Search by Diversity-Guided Search Space Shrinking

Minghao Chen, Haibin Ling, Jianlong Fu, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Searching the Search Space of Vision Transformer

Hongyang Chao, Minghao Chen, Haibin Ling, 2021, NeurIPS.

SHOT-VAE: Semi-supervised Deep Generative Models With Label-aware ELBO Approximations pdf

Minghao Chen, Minfeng Zhu, Wei Chen, 2020, AAAI.

One Spatio-Temporal Sharpening Attention Mechanism for Light-Weight YOLO Models Based on Sharpening Spatial Attention

Minghao Chen, Dongliang Peng, Mengfan Xue, 2021, Sensors.

Complementary Pseudo Labels for Unsupervised Domain Adaptation On Person Re-Identification

Minghao Chen, Deng Cai, Haifeng Liu, 2021, IEEE Transactions on Image Processing.

DBP: Discrimination Based Block-Level Pruning for Deep Model Acceleration pdf

Deng Cai, Jinming Hu, Shuai Zhao, 2019, ArXiv.

Neural Comment Generation for Source Code with Auxiliary Code Classification Task

Minghao Chen, Xiaojun Wan, Minghao Chen, 2019, 2019 26th Asia-Pacific Software Engineering Conference (APSEC).

Salient Object Ranking with Position-Preserved Attention pdf

Yao Hu, Minghao Chen, Yi Zhang, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

Learning to Correct Sloppy Annotations in Electron Microscopy Volumes

N. Shavit, J. Lichtman, Minghao Chen, 2023, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Self-supervised and Weakly Supervised Contrastive Learning for Frame-wise Action Representations

Minghao Chen, Boxi Wu, Deng Cai, 2022, ArXiv.

Learning color space adaptation from synthetic to real images of cirrus clouds pdf

Xiang Chen, Qing Lyu, Minghao Chen, 2018, The Visual Computer.

Spherical Knowledge Distillation

Yao Hu, Xiaofei He, Minghao Chen, 2020, ArXiv.