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Dong Gong

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Revealing Multimodal Contrastive Representation Learning through Latent Partial Causal Models

Feb 09, 2024
Yuhang Liu, Zhen Zhang, Dong Gong, Biwei Huang, Mingming Gong, Anton van den Hengel, Kun Zhang, Javen Qinfeng Shi

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Learning with Mixture of Prototypes for Out-of-Distribution Detection

Feb 05, 2024
Haodong Lu, Dong Gong, Shuo Wang, Jason Xue, Lina Yao, Kristen Moore

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NPCL: Neural Processes for Uncertainty-Aware Continual Learning

Oct 30, 2023
Saurav Jha, Dong Gong, He Zhao, Lina Yao

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Identifiable Latent Polynomial Causal Models Through the Lens of Change

Oct 24, 2023
Yuhang Liu, Zhen Zhang, Dong Gong, Mingming Gong, Biwei Huang, Anton van den Hengel, Kun Zhang, Javen Qinfeng Shi

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FocDepthFormer: Transformer with LSTM for Depth Estimation from Focus

Oct 17, 2023
Xueyang Kang, Fengze Han, Abdur Fayjie, Dong Gong

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Learning Informative Latent Representation for Quantum State Tomography

Sep 30, 2023
Hailan Ma, Zhenhong Sun, Daoyi Dong, Dong Gong

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RanPAC: Random Projections and Pre-trained Models for Continual Learning

Jul 05, 2023
Mark D. McDonnell, Dong Gong, Amin Parveneh, Ehsan Abbasnejad, Anton van den Hengel

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Learning to Fuse Monocular and Multi-view Cues for Multi-frame Depth Estimation in Dynamic Scenes

Apr 18, 2023
Rui Li, Dong Gong, Wei Yin, Hao Chen, Yu Zhu, Kaixuan Wang, Xiaozhi Chen, Jinqiu Sun, Yanning Zhang

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Maximizing Spatio-Temporal Entropy of Deep 3D CNNs for Efficient Video Recognition

Mar 05, 2023
Junyan Wang, Zhenhong Sun, Yichen Qian, Dong Gong, Xiuyu Sun, Ming Lin, Maurice Pagnucco, Yang Song

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Truncated Matrix Power Iteration for Differentiable DAG Learning

Aug 30, 2022
Zhen Zhang, Ignavier Ng, Dong Gong, Yuhang Liu, Ehsan M Abbasnejad, Mingming Gong, Kun Zhang, Javen Qinfeng Shi

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