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I am currently pursuing a PhD in Electrical and Computer Engineering at University of California, San Diego under the supervision of Prof. Nuno Vasconcelos. I received my MS in UCSD Computer science engineering department and B.S. in EECS honor program from National Chiao Tung University in June 2016.
My current research focuses on computer vision and machine learning. Specifically, my research mainly focus on visual language models, self-supervised learning and model robustness.
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ProTeCt: Prompt Tuning for Taxonomic Open Set Classification |
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Long-Tailed Anomaly Detection with Learnable Class Names |
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Toward Unsupervised Realistic Visual Question Answering |
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DISCO: Adversarial Defense with Local Implicit Functions |
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YORO - Lightweight End to End Visual Grounding |
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Black-Box Test-Time Shape REFINEment for Single View 3D Reconstruction |
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Contrastive Learning with Adversarial Examples |
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Solving Long-tailed Recognition with Deep Realistic Taxonomic Classifier |
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Exploit Clues from Views: Self-Supervised and Regularized Learning for Multiview Object Recognition |
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PIEs: Pose Invariant Embeddings |
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Catastrophic Child's Play: Easy to Perform, Hard to Defend Adversarial Attacks |
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SVCL