Jie Hu - RankMe

42 papers A* 14Misc 1Journal 26Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Kangaroo: A Powerful Video-Language Model Supporting Long-context Video Input. Int. J. Comput. Vis. Jiajun Liu, Yibing Wang, Hanghang Ma, Xiaoping Wu, Xiaoqi Ma, Xiaoming Wei, Jianbin Jiao, Enhua Wu, Jie Hu
2026	J	`jnl`	On the Plasticity and Stability for Post-Training Large Language Models. CoRR Wenwen Qiang, Ziyin Gu, Jiahuan Zhou, Jie Hu, Jingyao Wang, Changwen Zheng, Hui Xiong
2025	A*	`conf`	Denoising with a Joint-Embedding Predictive Architecture. ICLR Dengsheng Chen, Jie Hu, Xiaoming Wei, Enhua Wu
2025	J	`jnl`	Image Editing with Diffusion Models: A Survey. CoRR Jia Wang, Jie Hu, Xiaoqi Ma, Hanghang Ma, Xiaoming Wei, Enhua Wu
2025	J	`jnl`	MagicMirror: A Large-Scale Dataset and Benchmark for Fine-Grained Artifacts Assessment in Text-to-Image Generation. CoRR Jia Wang, Jie Hu, Xiaoqi Ma, Hanghang Ma, Yanbing Zeng, Xiaoming Wei
2025	J	`jnl`	Omni-Dish: Photorealistic and Faithful Image Generation and Editing for Arbitrary Chinese Dishes. CoRR Huijie Liu, Bingcan Wang, Jie Hu, Xiaoming Wei, Guoliang Kang
2025	A*	`conf`	Separate Motion from Appearance: Customizing Motion via Customizing Text-to-Video Diffusion Models. ACM Multimedia Huijie Liu, Jingyun Wang, Shuai Ma, Jie Hu, Xiaoming Wei, Guoliang Kang
2025	J	`jnl`	Separate Motion from Appearance: Customizing Motion via Customizing Text-to-Video Diffusion Models. CoRR Huijie Liu, Jingyun Wang, Shuai Ma, Jie Hu, Xiaoming Wei, Guoliang Kang
2024	J	`jnl`	CharGen: High Accurate Character-Level Visual Text Generation Model with MultiModal Encoder. CoRR Lichen Ma, Tiezhu Yue, Pei Fu, Yujie Zhong, Kai Zhou, Xiaoming Wei, Jie Hu
2024	J	`jnl`	Deformable 3D Shape Diffusion Model. CoRR Dengsheng Chen, Jie Hu, Xiaoming Wei, Enhua Wu
2024	J	`jnl`	Denoising with a Joint-Embedding Predictive Architecture. CoRR Dengsheng Chen, Jie Hu, Xiaoming Wei, Enhua Wu
2024	J	`jnl`	Fine-gained Zero-shot Video Sampling. CoRR Dengsheng Chen, Jie Hu, Xiaoming Wei, Enhua Wu
2024	J	`jnl`	High-Resolution Image Synthesis via Next-Token Prediction. CoRR Dengsheng Chen, Jie Hu, Tiezhu Yue, Xiaoming Wei
2024	J	`jnl`	Intriguing Property and Counterfactual Explanation of GAN for Remote Sensing Image Generation. Int. J. Comput. Vis. Xingzhe Su, Wenwen Qiang, Jie Hu, Changwen Zheng, Fengge Wu, Fuchun Sun
2024	J	`jnl`	Kangaroo: A Powerful Video-Language Model Supporting Long-context Video Input. CoRR Jiajun Liu, Yibing Wang, Hanghang Ma, Xiaoping Wu, Xiaoqi Ma, Xiaoming Wei, Jianbin Jiao, Enhua Wu, Jie Hu
2024	J	`jnl`	RDPM: Solve Diffusion Probabilistic Models via Recurrent Token Prediction. CoRR Xiaoping Wu, Jie Hu, Xiaoming Wei
2024	A*	`conf`	Real3D: The Curious Case of Neural Scene Degeneration. AAAI Dengsheng Chen, Jie Hu, Xiaoming Wei, Enhua Wu
2024	A*	`conf`	Rethinking Dimensional Rationale in Graph Contrastive Learning from Causal Perspective. AAAI Qirui Ji, Jiangmeng Li, Jie Hu, Rui Wang, Changwen Zheng, Fanjiang Xu
2024	A*	`conf`	Self-Supervised Representation Learning with Meta Comprehensive Regularization. AAAI Huijie Guo, Ying Ba, Jie Hu, Lingyu Si, Wenwen Qiang, Lei Shi
2024	J	`jnl`	Self-Supervised Representation Learning with Meta Comprehensive Regularization. CoRR Huijie Guo, Ying Ba, Jie Hu, Lingyu Si, Wenwen Qiang, Lei Shi
2023	Misc	`conf`	Bag of Tricks with Quantized Convolutional Neural Networks for Image Classification. ICASSP Jie Hu, Mengze Zeng, Enhua Wu
2023	J	`jnl`	Bag of Tricks with Quantized Convolutional Neural Networks for image classification. CoRR Jie Hu, Mengze Zeng, Enhua Wu
2023	A*	`conf`	Elastic Aggregation for Federated Optimization. CVPR Dengsheng Chen, Jie Hu, Vince Junkai Tan, Xiaoming Wei, Enhua Wu
2023	J	`jnl`	Intriguing Property and Counterfactual Explanation of GAN for Remote Sensing Image Generation. CoRR Xingzhe Su, Wenwen Qiang, Jie Hu, Fengge Wu, Changwen Zheng, Fuchun Sun
2023	—	`conf`	OpenFed: A Comprehensive and Versatile Open-Source Federated Learning Framework. CVPR Workshops Dengsheng Chen, Vince Junkai Tan, Zhilin Lu, Enhua Wu, Jie Hu
2023	J	`jnl`	Rethinking Dimensional Rationale in Graph Contrastive Learning from Causal Perspective. CoRR Qirui Ji, Jiangmeng Li, Jie Hu, Rui Wang, Changwen Zheng, Fanjiang Xu
2023	A*	`conf`	Rethinking skip connection model as a learnable Markov chain. ICLR Dengsheng Chen, Jie Hu, Wenwen Qiang, Xiaoming Wei, Enhua Wu
2022	A*	`conf`	Elastic-Link for Binarized Neural Networks. AAAI Jie Hu, Ziheng Wu, Vince Junkai Tan, Zhilin Lu, Mengze Zeng, Enhua Wu
2022	J	`jnl`	Rethinking skip connection model as a learnable Markov chain. CoRR Dengsheng Chen, Jie Hu, Wenwen Qiang, Xiaoming Wei, Enhua Wu
2021	J	`jnl`	Elastic-Link for Binarized Neural Network. CoRR Jie Hu, Ziheng Wu, Vince Junkai Tan, Zhilin Lu, Mengze Zeng, Enhua Wu
2021	A*	`conf`	Involution: Inverting the Inherence of Convolution for Visual Recognition. CVPR Duo Li, Jie Hu, Changhu Wang, Xiangtai Li, Qi She, Lei Zhu, Tong Zhang, Qifeng Chen
2021	J	`jnl`	Involution: Inverting the Inherence of Convolution for Visual Recognition. CoRR Duo Li, Jie Hu, Changhu Wang, Xiangtai Li, Qi She, Lei Zhu, Tong Zhang, Qifeng Chen
2021	A*	`conf`	Learning the Superpixel in a Non-Iterative and Lifelong Manner. CVPR Lei Zhu, Qi She, Bin Zhang, Yanye Lu, Zhilin Lu, Duo Li, Jie Hu
2021	J	`jnl`	Learning the Superpixel in a Non-iterative and Lifelong Manner. CoRR Lei Zhu, Qi She, Bin Zhang, Yanye Lu, Zhilin Lu, Duo Li, Jie Hu
2021	A*	`conf`	Unifying Nonlocal Blocks for Neural Networks. ICCV Lei Zhu, Qi She, Duo Li, Yanye Lu, Xuejing Kang, Jie Hu, Changhu Wang
2021	J	`jnl`	Unifying Nonlocal Blocks for Neural Networks. CoRR Lei Zhu, Qi She, Duo Li, Yanye Lu, Xuejing Kang, Jie Hu, Changhu Wang
2020	J	`jnl`	Squeeze-and-Excitation Networks. IEEE Trans. Pattern Anal. Mach. Intell. Jie Hu, Li Shen, Samuel Albanie, Gang Sun, Enhua Wu
2018	A*	`conf`	Gather-Excite: Exploiting Feature Context in Convolutional Neural Networks. NeurIPS Jie Hu, Li Shen, Samuel Albanie, Gang Sun, Andrea Vedaldi
2018	J	`jnl`	Gather-Excite: Exploiting Feature Context in Convolutional Neural Networks. CoRR Jie Hu, Li Shen, Samuel Albanie, Gang Sun, Andrea Vedaldi
2018	A*	`conf`	Squeeze-and-Excitation Networks. CVPR Jie Hu, Li Shen, Gang Sun
2017	J	`jnl`	Squeeze-and-Excitation Networks. CoRR Jie Hu, Li Shen, Gang Sun
2016	A*	`conf`	A Key Volume Mining Deep Framework for Action Recognition. CVPR Wangjiang Zhu, Jie Hu, Gang Sun, Xudong Cao, Yu Qiao