Li, Tianqin

10 publications

CVPR 2025 Perceptual Inductive Bias Is What You Need Before Contrastive Learning Junru Zhao, Tianqin Li, Dunhan Jiang, Shenghao Wu, Alan Ramirez, Tai Sing Lee

ICCV 2025 ViT-Split: Unleashing the Power of Vision Foundation Models via Efficient Splitting Heads Yifan Li, Xin Li, Tianqin Li, Wenbin He, Yu Kong, Liu Ren

ICLRW 2024 Does Resistance to Style-Transfer Equal Global Shape Bias? Measuring Network Sensitivity to Global Shape Configuration Ziqi Wen, Tianqin Li, Zhi Jing, Tai Sing Lee

ICLRW 2024 The Benefits of Incorporating Shape Priors in Contrastive Learning Junru Zhao, Tianqin Li, Tai Sing Lee

NeurIPS 2023 Emergence of Shape Bias in Convolutional Neural Networks Through Activation Sparsity Tianqin Li, Ziqi Wen, Yangfan Li, Tai Sing Lee

ICLR 2022 Conditional Contrastive Learning with Kernel Yao-Hung Hubert Tsai, Tianqin Li, Martin Q. Ma, Han Zhao, Kun Zhang, Louis-Philippe Morency, Ruslan Salakhutdinov

ICLR 2022 Learning Weakly-Supervised Contrastive Representations Yao-Hung Hubert Tsai, Tianqin Li, Weixin Liu, Peiyuan Liao, Ruslan Salakhutdinov, Louis-Philippe Morency

ICLR 2022 Prototype Memory and Attention Mechanisms for Few Shot Image Generation Tianqin Li, Zijie Li, Andrew Luo, Harold Rockwell, Amir Barati Farimani, Tai Sing Lee

ICLR 2022 TPU-GAN: Learning Temporal Coherence from Dynamic Point Cloud Sequences Zijie Li, Tianqin Li, Amir Barati Farimani

ICCV 2021 SurfGen: Adversarial 3D Shape Synthesis with Explicit Surface Discriminators Andrew Luo, Tianqin Li, Wen-Hao Zhang, Tai Sing Lee