A closer look at network resolution for efficient network design. - Taojiannan Yang; Sijie Zhu; Shen Yan; Mi Zhang 002; Andrew R. Willis; Chen Chen 001 (CoRR, 2019)

Density Map Guided Object Detection in Aerial Images. - Changlin Li; Taojiannan Yang; Sijie Zhu; Chen Chen 001; Shanyue Guan (CVPR Workshops, 2020)

MutualNet: Adaptive ConvNet via Mutual Learning from Network Width and Resolution. - Taojiannan Yang; Sijie Zhu; Chen Chen 001; Shen Yan; Mi Zhang 002; Andrew R. Willis (ECCV (1), 2020)

GradAug: A New Regularization Method for Deep Neural Networks. - Taojiannan Yang; Sijie Zhu; Chen Chen 001 (NeurIPS, 2020)

Cross-directional Feature Fusion Network for Building Damage Assessment from Satellite Imagery. - Yu Shen; Sijie Zhu; Taojiannan Yang; Chen Chen 001 (CoRR, 2020)

A3D: Adaptive 3D Networks for Video Action Recognition. - Sijie Zhu; Taojiannan Yang; Matías Mendieta; Chen Chen 001 (CoRR, 2020)

Deep Learning-Based Human Pose Estimation: A Survey. - Ce Zheng; Wenhan Wu; Taojiannan Yang; Sijie Zhu; Chen Chen 001; Ruixu Liu; Ju Shen; Nasser Kehtarnavaz; Mubarak Shah (CoRR, 2020)

VIGOR: Cross-View Image Geo-Localization Beyond One-to-One Retrieval. - Sijie Zhu; Taojiannan Yang; Chen Chen 001 (CVPR, 2021)

3D Human Pose Estimation with Spatial and Temporal Transformers. - Ce Zheng; Sijie Zhu; Matías Mendieta; Taojiannan Yang; Chen Chen 001; Zhengming Ding (ICCV, 2021)

Towards Resolving the Challenge of Long-tail Distribution in UAV Images for Object Detection. - Weiping Yu; Taojiannan Yang; Chen Chen 001 (WACV, 2021)

Revisiting Street-to-Aerial View Image Geo-localization and Orientation Estimation. - Sijie Zhu; Taojiannan Yang; Chen Chen 001 (WACV, 2021)

Consistency-based Active Learning for Object Detection. - Weiping Yu; Sijie Zhu; Taojiannan Yang; Chen Chen 001; Mengyuan Liu (CoRR, 2021)

Visual Explanation for Deep Metric Learning. - Sijie Zhu; Taojiannan Yang; Chen Chen 001 (IEEE Trans. Image Process., 2021)

Local Learning Matters: Rethinking Data Heterogeneity in Federated Learning. - Matías Mendieta; Taojiannan Yang; Pu Wang 001; Minwoo Lee 001; Zhengming Ding; Chen Chen 001 (CVPR, 2022)

Consistency-based Active Learning for Object Detection. - Weiping Yu; Sijie Zhu; Taojiannan Yang; Chen Chen 001 (CVPR Workshops, 2022)

HeatER: An Efficient and Unified Network for Human Reconstruction via Heatmap-based TransformER. - Ce Zheng; Matías Mendieta; Taojiannan Yang; Chen Chen 001 (CoRR, 2022)

Exploring Parameter-Efficient Fine-tuning for Improving Communication Efficiency in Federated Learning. - Guangyu Sun 004; Matías Mendieta; Taojiannan Yang; Chen Chen 001 (CoRR, 2022)

Problem Behaviors Recognition in Videos using Language-Assisted Deep Learning Model for Children with Autism. - Andong Deng; Taojiannan Yang; Chen Chen 001; Qian Chen 019; Leslie Neely; Sakiko Oyama (CoRR, 2022)

BDANet: Multiscale Convolutional Neural Network With Cross-Directional Attention for Building Damage Assessment From Satellite Images. - Yu Shen; Sijie Zhu; Taojiannan Yang; Chen Chen 001; Delu Pan; Jianyu Chen; Liang Xiao 001; Qian Du 001 (IEEE Trans. Geosci. Remote. Sens., 2022)

FeatER: An Efficient Network for Human Reconstruction via Feature Map-Based TransformER. - Ce Zheng; Matías Mendieta; Taojiannan Yang; Guo-Jun Qi; Chen Chen 001 (CVPR, 2023)

A Large-scale Study of Spatiotemporal Representation Learning with a New Benchmark on Action Recognition. - Andong Deng; Taojiannan Yang; Chen Chen 001 (ICCV, 2023)

AIM: Adapting Image Models for Efficient Video Action Recognition. - Taojiannan Yang; Yi Zhu 001; Yusheng Xie; Aston Zhang; Chen Chen 001; Mu Li 003 (ICLR, 2023)

Revisiting Training-free NAS Metrics: An Efficient Training-based Method. - Taojiannan Yang; Linjie Yang; Xiaojie Jin; Chen Chen 001 (WACV, 2023)

MutualNet: Adaptive ConvNet via Mutual Learning From Different Model Configurations. - Taojiannan Yang; Sijie Zhu; Matías Mendieta; Pu Wang 001; Ravikumar Balakrishnan; Minwoo Lee 001; Tao Han 002; Mubarak Shah; Chen Chen 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

AutoGluon-Multimodal (AutoMM): Supercharging Multimodal AutoML with Foundation Models. - Zhiqiang Tang; Haoyang Fang; Su Zhou; Taojiannan Yang; Zihan Zhong; Cuixiong Hu; Katrin Kirchhoff; George Karypis (AutoML, 2024)

ControlNet++: Improving Conditional Controls with Efficient Consistency Feedback. - Ming Li 010; Taojiannan Yang; Huafeng Kuang; Jie Wu 032; Zhaoning Wang; Xuefeng Xiao 001; Chen Chen 001 (ECCV (7), 2024)

Dense Connector for MLLMs. - Huanjin Yao; Wenhao Wu; Taojiannan Yang; Yuxin Song; Mengxi Zhang; Haocheng Feng; Yifan Sun 003; Zhiheng Li; Wanli Ouyang; Jingdong Wang 001 (NeurIPS, 2024)

AutoGluon-Multimodal (AutoMM): Supercharging Multimodal AutoML with Foundation Models. - Zhiqiang Tang; Haoyang Fang; Su Zhou; Taojiannan Yang; Zihan Zhong; Tony Hu; Katrin Kirchhoff; George Karypis (CoRR, 2024)

Deep Learning-based Human Pose Estimation: A Survey. - Ce Zheng; Wenhan Wu; Chen Chen 001; Taojiannan Yang; Sijie Zhu; Ju Shen; Nasser Kehtarnavaz; Mubarak Shah (ACM Comput. Surv., 2024)

Motion-Grounded Video Reasoning: Understanding and Perceiving Motion at Pixel Level. - Andong Deng; Tongjia Chen; Shoubin Yu; Taojiannan Yang; Lincoln Spencer; Yapeng Tian; Ajmal Saeed Mian; Mohit Bansal; Chen Chen 001 (CVPR, 2025)