Dongting Hu - RankMe

23 papers A* 3Journal 15Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AniFaceDiff: Animating stylized avatars via parametric conditioned diffusion models. Pattern Recognit. Ken Chen, Sachith Seneviratne, Wei Wang, Dongting Hu, Sanjay Saha, Md. Tarek Hasan, Sanka Rasnayaka, Tamasha Malepathirana, Mingming Gong, Saman K. Halgamuge
2026	J	`jnl`	Probabilistic modeling of disparity uncertainty for robust and efficient stereo matching. Pattern Recognit. Wenxiao Cai, Dongting Hu, Ruoyan Yin, Jiankang Deng, Huan Fu, Wankou Yang, Mingming Gong
2026	J	`jnl`	SnapGen++: Unleashing Diffusion Transformers for Efficient High-Fidelity Image Generation on Edge Devices. CoRR Dongting Hu, Aarush Gupta, Magzhan Gabidolla, Arpit Sahni, Huseyin Coskun, Yanyu Li, Yerlan Idelbayev, Ahsan Mahmood, Aleksei Lebedev, Dishani Lahiri, Anujraaj Goyal, Ju Hu, Mingming Gong, Sergey Tulyakov, Anil Kag
2025	J	`jnl`	MF-VITON: High-Fidelity Mask-Free Virtual Try-On with Minimal Input. CoRR Zhenchen Wan, Yanwu Xu, Dongting Hu, Weilun Cheng, Tianxi Chen, Zhaoqing Wang, Feng Liu, Tongliang Liu, Mingming Gong
2025	—	`conf`	MFT-VITON: High-Fidelity Virtual Try-On with Minimal Input via a Mask-Free Transformer-Diffusion Model. ICCVW Zhenchen Wan, Yanwu Xu, Dongting Hu, Weilun Cheng, Tianxi Chen, Zhaoqing Wang, Feng Liu, Tongliang Liu, Mingming Gong
2025	—	`conf`	OpenInsGaussian: Open-Vocabulary Instance Gaussian Segmentation with Context-Aware Cross-View Fusion. ICCVW Tianyu Huang, Runnan Chen, Dongting Hu, Fengming Huang, Mingming Gong, Tongliang Liu
2025	J	`jnl`	OpenInsGaussian: Open-vocabulary Instance Gaussian Segmentation with Context-aware Cross-view Fusion. CoRR Tianyu Huang, Runnan Chen, Dongting Hu, Fengming Huang, Mingming Gong, Tongliang Liu
2025	J	`jnl`	ProtoGS: Efficient and High-Quality Rendering with 3D Gaussian Prototypes. CoRR Zhengqing Gao, Dongting Hu, Jia-Wang Bian, Huan Fu, Yan Li, Tongliang Liu, Mingming Gong, Kun Zhang
2025	J	`jnl`	STBA: Towards Evaluating the Robustness of DNNs for Query-Limited Black-Box Scenario. IEEE Trans. Multim. Renyang Liu, Kwok-Yan Lam, Wei Zhou, Sixing Wu, Jun Zhao, Dongting Hu, Mingming Gong
2025	A*	`conf`	SnapGen: Taming High-Resolution Text-to-Image Models for Mobile Devices with Efficient Architectures and Training. CVPR Jierun Chen, Dongting Hu, Xijie Huang, Huseyin Coskun, Arpit Sahni, Aarush Gupta, Anujraaj Goyal, Dishani Lahiri, Rajesh Singh, Yerlan Idelbayev, Junli Cao, Yanyu Li, Kwang-Ting Cheng, S.-H. Gary Chan, Mingming Gong, Sergey Tulyakov, Anil Kag, Yanwu Xu, Jian Ren
2025	—	`conf`	Stochastic Diffusion: A Diffusion Based Model for Stochastic Time Series Forecasting. KDD (2) Yuansan Liu, Sudanthi N. R. Wijewickrema, Dongting Hu, Christofer Bester, Stephen J. O'Leary, James Bailey
2024	J	`jnl`	AniFaceDiff: High-Fidelity Face Reenactment via Facial Parametric Conditioned Diffusion Models. CoRR Ken Chen, Sachith Seneviratne, Wei Wang, Dongting Hu, Sanjay Saha, Md. Tarek Hasan, Sanka Rasnayaka, Tamasha Malepathirana, Mingming Gong, Saman K. Halgamuge
2024	A*	`conf`	In-N-Out: Lifting 2D Diffusion Prior for 3D Object Removal via Tuning-Free Latents Alignment. NeurIPS Dongting Hu, Huan Fu, Jiaxian Guo, Liuhua Peng, Tingjin Chu, Feng Liu, Tongliang Liu, Mingming Gong
2024	J	`jnl`	STBA: Towards Evaluating the Robustness of DNNs for Query-Limited Black-box Scenario. CoRR Renyang Liu, Kwok-Yan Lam, Wei Zhou, Sixing Wu, Jun Zhao, Dongting Hu, Mingming Gong
2024	J	`jnl`	SnapGen: Taming High-Resolution Text-to-Image Models for Mobile Devices with Efficient Architectures and Training. CoRR Dongting Hu, Jierun Chen, Xijie Huang, Huseyin Coskun, Arpit Sahni, Aarush Gupta, Anujraaj Goyal, Dishani Lahiri, Rajesh Singh, Yerlan Idelbayev, Junli Cao, Yanyu Li, Kwang-Ting Cheng, S.-H. Gary Chan, Mingming Gong, Sergey Tulyakov, Anil Kag, Yanwu Xu, Jian Ren
2024	J	`jnl`	Stochastic Diffusion: A Diffusion Probabilistic Model for Stochastic Time Series Forecasting. CoRR Yuansan Liu, Sudanthi N. R. Wijewickrema, Dongting Hu, Christofer Bester, Stephen J. O'Leary, James Bailey
2024	J	`jnl`	Uncertainty Quantification in Stereo Matching. CoRR Wenxiao Cai, Dongting Hu, Ruoyan Yin, Jiankang Deng, Huan Fu, Wankou Yang, Mingming Gong
2023	J	`jnl`	DualFlow: Generating imperceptible adversarial examples by flow field and normalize flow-based model. Frontiers Neurorobotics Renyang Liu, Xin Jin, Dongting Hu, Jinhong Zhang, Yuanyu Wang, Jin Zhang, Wei Zhou
2023	A*	`conf`	Multiscale Representation for Real-Time Anti-Aliasing Neural Rendering. ICCV Dongting Hu, Zhenkai Zhang, Tingbo Hou, Tongliang Liu, Huan Fu, Mingming Gong
2023	J	`jnl`	Multiscale Representation for Real-Time Anti-Aliasing Neural Rendering. CoRR Dongting Hu, Zhenkai Zhang, Tingbo Hou, Tongliang Liu, Huan Fu, Mingming Gong
2022	—	`conf`	Uncertainty Quantification in Depth Estimation via Constrained Ordinal Regression. ECCV (2) Dongting Hu, Liuhua Peng, Tingjin Chu, Xiaoxing Zhang, Yinian Mao, Howard D. Bondell, Mingming Gong
2015	J	`jnl`	Improving Shape Retrieval by Integrating AIR and Modified Mutual kNN Graph. Adv. Multim. Nouman Qadeer Soomro, Dongting Hu, Xiabi Liu, Shahzad Anwar, Malik Saad Sultan
2015	—	`conf`	Multi-view object co-segmentation based on the mixture of links model. ICDIP Dongting Hu, Yugang Li, Xiabi Liu