Taojiannan Yang

47 papers A* 9A 3Journal 30Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Motion-Grounded Video Reasoning: Understanding and Perceiving Motion at Pixel Level. CVPR Andong Deng, Tongjia Chen, Shoubin Yu, Taojiannan Yang, Lincoln Spencer, Yapeng Tian, Ajmal Saeed Mian, Mohit Bansal, Chen Chen
2025	J	`jnl`	SciVideoBench: Benchmarking Scientific Video Reasoning in Large Multimodal Models. CoRR Andong Deng, Taojiannan Yang, Shoubin Yu, Lincoln Spencer, Mohit Bansal, Chen Chen, Serena Yeung-Levy, Xiaohan Wang
2024	—	`conf`	AutoGluon-Multimodal (AutoMM): Supercharging Multimodal AutoML with Foundation Models. AutoML ZhiQiang Tang, Haoyang Fang, Su Zhou, Taojiannan Yang, Zihan Zhong, Cuixiong Hu, Katrin Kirchhoff, George Karypis
2024	J	`jnl`	AutoGluon-Multimodal (AutoMM): Supercharging Multimodal AutoML with Foundation Models. CoRR ZhiQiang Tang, Haoyang Fang, Su Zhou, Taojiannan Yang, Zihan Zhong, Tony Hu, Katrin Kirchhoff, George Karypis
2024	—	`conf`	ControlNet++: Improving Conditional Controls with Efficient Consistency Feedback. ECCV (7) Ming Li, Taojiannan Yang, Huafeng Kuang, Jie Wu, Zhaoning Wang, Xuefeng Xiao, Chen Chen
2024	J	`jnl`	ControlNet++: Improving Conditional Controls with Efficient Consistency Feedback. CoRR Ming Li, Taojiannan Yang, Huafeng Kuang, Jie Wu, Zhaoning Wang, Xuefeng Xiao, Chen Chen
2024	J	`jnl`	Deep Learning-based Human Pose Estimation: A Survey. ACM Comput. Surv. Ce Zheng, Wenhan Wu, Chen Chen, Taojiannan Yang, Sijie Zhu, Ju Shen, Nasser Kehtarnavaz, Mubarak Shah
2024	A*	`conf`	Dense Connector for MLLMs. NeurIPS Huanjin Yao, Wenhao Wu, Taojiannan Yang, Yuxin Song, Mengxi Zhang, Haocheng Feng, Yifan Sun, Zhiheng Li, Wanli Ouyang, Jingdong Wang
2024	J	`jnl`	Dense Connector for MLLMs. CoRR Huanjin Yao, Wenhao Wu, Taojiannan Yang, Yuxin Song, Mengxi Zhang, Haocheng Feng, Yifan Sun, Zhiheng Li, Wanli Ouyang, Jingdong Wang
2024	J	`jnl`	Motion-Grounded Video Reasoning: Understanding and Perceiving Motion at Pixel Level. CoRR Andong Deng, Tongjia Chen, Shoubin Yu, Taojiannan Yang, Lincoln Spencer, Yapeng Tian, Ajmal Saeed Mian, Mohit Bansal, Chen Chen
2023	A*	`conf`	A Large-scale Study of Spatiotemporal Representation Learning with a New Benchmark on Action Recognition. ICCV Andong Deng, Taojiannan Yang, Chen Chen
2023	J	`jnl`	A Large-scale Study of Spatiotemporal Representation Learning with a New Benchmark on Action Recognition. CoRR Andong Deng, Taojiannan Yang, Chen Chen
2023	A*	`conf`	AIM: Adapting Image Models for Efficient Video Action Recognition. ICLR Taojiannan Yang, Yi Zhu, Yusheng Xie, Aston Zhang, Chen Chen, Mu Li
2023	J	`jnl`	AIM: Adapting Image Models for Efficient Video Action Recognition. CoRR Taojiannan Yang, Yi Zhu, Yusheng Xie, Aston Zhang, Chen Chen, Mu Li
2023	A*	`conf`	FeatER: An Efficient Network for Human Reconstruction via Feature Map-Based TransformER. CVPR Ce Zheng, Matías Mendieta, Taojiannan Yang, Guo-Jun Qi, Chen Chen
2023	J	`jnl`	MutualNet: Adaptive ConvNet via Mutual Learning From Different Model Configurations. IEEE Trans. Pattern Anal. Mach. Intell. Taojiannan Yang, Sijie Zhu, Matías Mendieta, Pu Wang, Ravikumar Balakrishnan, Minwoo Lee, Tao Han, Mubarak Shah, Chen Chen
2023	A	`conf`	Revisiting Training-free NAS Metrics: An Efficient Training-based Method. WACV Taojiannan Yang, Linjie Yang, Xiaojie Jin, Chen Chen
2022	J	`jnl`	BDANet: Multiscale Convolutional Neural Network With Cross-Directional Attention for Building Damage Assessment From Satellite Images. IEEE Trans. Geosci. Remote. Sens. Yu Shen, Sijie Zhu, Taojiannan Yang, Chen Chen, Delu Pan, Jianyu Chen, Liang Xiao, Qian Du
2022	—	`conf`	Consistency-based Active Learning for Object Detection. CVPR Workshops Weiping Yu, Sijie Zhu, Taojiannan Yang, Chen Chen
2022	J	`jnl`	Exploring Parameter-Efficient Fine-tuning for Improving Communication Efficiency in Federated Learning. CoRR Guangyu Sun, Matías Mendieta, Taojiannan Yang, Chen Chen
2022	J	`jnl`	HeatER: An Efficient and Unified Network for Human Reconstruction via Heatmap-based TransformER. CoRR Ce Zheng, Matías Mendieta, Taojiannan Yang, Chen Chen
2022	A*	`conf`	Local Learning Matters: Rethinking Data Heterogeneity in Federated Learning. CVPR Matías Mendieta, Taojiannan Yang, Pu Wang, Minwoo Lee, Zhengming Ding, Chen Chen
2022	J	`jnl`	Problem Behaviors Recognition in Videos using Language-Assisted Deep Learning Model for Children with Autism. CoRR Andong Deng, Taojiannan Yang, Chen Chen, Qian Chen, Leslie Neely, Sakiko Oyama
2022	J	`jnl`	Revisiting Training-free NAS Metrics: An Efficient Training-based Method. CoRR Taojiannan Yang, Linjie Yang, Xiaojie Jin, Chen Chen
2021	A*	`conf`	3D Human Pose Estimation with Spatial and Temporal Transformers. ICCV Ce Zheng, Sijie Zhu, Matías Mendieta, Taojiannan Yang, Chen Chen, Zhengming Ding
2021	J	`jnl`	3D Human Pose Estimation with Spatial and Temporal Transformers. CoRR Ce Zheng, Sijie Zhu, Matías Mendieta, Taojiannan Yang, Chen Chen, Zhengming Ding
2021	J	`jnl`	BDANet: Multiscale Convolutional Neural Network with Cross-directional Attention for Building Damage Assessment from Satellite Images. CoRR Yu Shen, Sijie Zhu, Taojiannan Yang, Chen Chen, Delu Pan, Jianyu Chen, Liang Xiao, Qian Du
2021	J	`jnl`	Consistency-based Active Learning for Object Detection. CoRR Weiping Yu, Sijie Zhu, Taojiannan Yang, Chen Chen, Mengyuan Liu
2021	J	`jnl`	Local Learning Matters: Rethinking Data Heterogeneity in Federated Learning. CoRR Matías Mendieta, Taojiannan Yang, Pu Wang, Minwoo Lee, Zhengming Ding, Chen Chen
2021	J	`jnl`	MutualNet: Adaptive ConvNet via Mutual Learning from Different Model Configurations. CoRR Taojiannan Yang, Sijie Zhu, Matías Mendieta, Pu Wang, Ravikumar Balakrishnan, Minwoo Lee, Tao Han, Mubarak Shah, Chen Chen
2021	A	`conf`	Revisiting Street-to-Aerial View Image Geo-localization and Orientation Estimation. WACV Sijie Zhu, Taojiannan Yang, Chen Chen
2021	A	`conf`	Towards Resolving the Challenge of Long-tail Distribution in UAV Images for Object Detection. WACV Weiping Yu, Taojiannan Yang, Chen Chen
2021	A*	`conf`	VIGOR: Cross-View Image Geo-Localization Beyond One-to-One Retrieval. CVPR Sijie Zhu, Taojiannan Yang, Chen Chen
2021	J	`jnl`	Visual Explanation for Deep Metric Learning. IEEE Trans. Image Process. Sijie Zhu, Taojiannan Yang, Chen Chen
2020	J	`jnl`	A3D: Adaptive 3D Networks for Video Action Recognition. CoRR Sijie Zhu, Taojiannan Yang, Matías Mendieta, Chen Chen
2020	J	`jnl`	Cross-directional Feature Fusion Network for Building Damage Assessment from Satellite Imagery. CoRR Yu Shen, Sijie Zhu, Taojiannan Yang, Chen Chen
2020	J	`jnl`	Deep Learning-Based Human Pose Estimation: A Survey. CoRR Ce Zheng, Wenhan Wu, Taojiannan Yang, Sijie Zhu, Chen Chen, Ruixu Liu, Ju Shen, Nasser Kehtarnavaz, Mubarak Shah
2020	—	`conf`	Density Map Guided Object Detection in Aerial Images. CVPR Workshops Changlin Li, Taojiannan Yang, Sijie Zhu, Chen Chen, Shanyue Guan
2020	J	`jnl`	Density Map Guided Object Detection in Aerial Images. CoRR Changlin Li, Taojiannan Yang, Sijie Zhu, Chen Chen, Shanyue Guan
2020	A*	`conf`	GradAug: A New Regularization Method for Deep Neural Networks. NeurIPS Taojiannan Yang, Sijie Zhu, Chen Chen
2020	J	`jnl`	GradAug: A New Regularization Method for Deep Neural Networks. CoRR Taojiannan Yang, Sijie Zhu, Chen Chen
2020	—	`conf`	MutualNet: Adaptive ConvNet via Mutual Learning from Network Width and Resolution. ECCV (1) Taojiannan Yang, Sijie Zhu, Chen Chen, Shen Yan, Mi Zhang, Andrew R. Willis
2020	J	`jnl`	Revisiting Street-to-Aerial View Image Geo-localization and Orientation Estimation. CoRR Sijie Zhu, Taojiannan Yang, Chen Chen
2020	J	`jnl`	Towards Resolving the Challenge of Long-tail Distribution in UAV Images for Object Detection. CoRR Weiping Yu, Taojiannan Yang, Chen Chen
2020	J	`jnl`	VIGOR: Cross-View Image Geo-localization beyond One-to-one Retrieval. CoRR Sijie Zhu, Taojiannan Yang, Chen Chen
2019	J	`jnl`	A closer look at network resolution for efficient network design. CoRR Taojiannan Yang, Sijie Zhu, Shen Yan, Mi Zhang, Andrew R. Willis, Chen Chen
2019	J	`jnl`	Visual Explanation for Deep Metric Learning. CoRR Sijie Zhu, Taojiannan Yang, Chen Chen