Min, Martin Renqiang

31 publications

WACV 2025 Exploiting VLM Localizability and Semantics for Open Vocabulary Action Detection Wentao Bao, Kai Li, Yuxiao Chen, Deep A Patel, Martin Renqiang Min, Yu Kong

AAAI 2025 Learning Disentangled Equivariant Representation for Explicitly Controllable 3D Molecule Generation Haoran Liu, Youzhi Luo, Tianxiao Li, James Caverlee, Martin Renqiang Min

ICML 2025 PPDiff: Diffusing in Hybrid Sequence-Structure Space for Protein-Protein Complex Design Zhenqiao Song, Tianxiao Li, Lei Li, Martin Renqiang Min

NeurIPSW 2024 Discrete-Continuous Variational Optimization with Local Gradients Jonathan H Warrell, Francesco Alesiani, Cameron Smith, Anja Mösch, Martin Renqiang Min

ECCV 2024 Learning to Localize Actions in Instructional Videos with LLM-Based Multi-Pathway Text-Video Alignment Yuxiao Chen, Kai Li, Wentao Bao, Deep Patel, Yu Kong, Martin Renqiang Min, Dimitris N. Metaxas

ACML 2024 Understanding Transcriptional Regulatory Redundancy by Learnable Global Subset Perturbations Junhao Liu, Siwei Xu, Dylan Riffle, Ziheng Duan, Martin Renqiang Min, Jing Zhang

CVPRW 2024 Weakly-Supervised Temporal Action Localization with Multi-Modal Plateau Transformers Xin Hu, Kai Li, Deep Patel, Erik Kruus, Martin Renqiang Min, Zhengming Ding

CVPR 2024 Why Not Use Your Textbook? Knowledge-Enhanced Procedure Planning of Instructional Videos Kumaranage Ravindu Yasas Nagasinghe, Honglu Zhou, Malitha Gunawardhana, Martin Renqiang Min, Daniel Harari, Muhammad Haris Khan

CVPR 2023 Conditional Image-to-Video Generation with Latent Flow Diffusion Models Haomiao Ni, Changhao Shi, Kai Li, Sharon X. Huang, Martin Renqiang Min

NeurIPS 2023 Disentangled Wasserstein Autoencoder for T-Cell Receptor Engineering Tianxiao Li, Hongyu Guo, Filippo Grazioli, Mark Gerstein, Martin Renqiang Min

CVPRW 2023 Exploring Compositional Visual Generation with Latent Classifier Guidance Changhao Shi, Haomiao Ni, Kai Li, Shaobo Han, Mingfu Liang, Martin Renqiang Min

ICCV 2023 Few-Shot Video Classification via Representation Fusion and Promotion Learning Haifeng Xia, Kai Li, Martin Renqiang Min, Zhengming Ding

CVPR 2023 Source-Free Video Domain Adaptation with Spatial-Temporal-Historical Consistency Learning Kai Li, Deep Patel, Erik Kruus, Martin Renqiang Min

WACV 2022 AE-StyleGAN: Improved Training of Style-Based Auto-Encoders Ligong Han, Sri Harsha Musunuri, Martin Renqiang Min, Ruijiang Gao, Yu Tian, Dimitris Metaxas

ICLR 2022 Learning Transferable Reward for Query Object Localization with Policy Adaptation Tingfeng Li, Shaobo Han, Martin Renqiang Min, Dimitris N. Metaxas

CVPR 2022 StyleT2I: Toward Compositional and High-Fidelity Text-to-Image Synthesis Zhiheng Li, Martin Renqiang Min, Kai Li, Chenliang Xu

ICLR 2021 Disentangled Recurrent Wasserstein Autoencoder Jun Han, Martin Renqiang Min, Ligong Han, Li Erran Li, Xuan Zhang

ICCV 2021 Dual Projection Generative Adversarial Networks for Conditional Image Generation Ligong Han, Martin Renqiang Min, Anastasis Stathopoulos, Yu Tian, Ruijiang Gao, Asim Kadav, Dimitris N. Metaxas

ICLR 2021 Hopper: Multi-Hop Transformer for Spatiotemporal Reasoning Honglu Zhou, Asim Kadav, Farley Lai, Alexandru Niculescu-Mizil, Martin Renqiang Min, Mubbasir Kapadia, Hans Peter Graf

ICCV 2021 Towards Robustness of Deep Neural Networks via Regularization Yao Li, Martin Renqiang Min, Thomas Lee, Wenchao Yu, Erik Kruus, Wei Wang, Cho-Jui Hsieh

IJCAI 2019 Conditional GAN with Discriminative Filter Generation for Text-to-Video Synthesis Yogesh Balaji, Martin Renqiang Min, Bing Bai, Rama Chellappa, Hans Peter Graf

IJCAI 2019 Learning K-Way D-Dimensional Discrete Embedding for Hierarchical Data Visualization and Retrieval Xiaoyuan Liang, Martin Renqiang Min, Hongyu Guo, Guiling Wang

AAAI 2018 Adaptive Feature Abstraction for Translating Video to Text Yunchen Pu, Martin Renqiang Min, Zhe Gan, Lawrence Carin

ICLR 2018 Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection Bo Zong, Qi Song, Martin Renqiang Min, Wei Cheng, Cristian Lumezanu, Daeki Cho, Haifeng Chen

ICML 2018 Learning K-Way D-Dimensional Discrete Codes for Compact Embedding Representations Ting Chen, Martin Renqiang Min, Yizhou Sun

ECML-PKDD 2018 Parametric T-Distributed Stochastic Exemplar-Centered Embedding Martin Renqiang Min, Hongyu Guo, Dinghan Shen

AAAI 2018 Video Generation from Text Yitong Li, Martin Renqiang Min, Dinghan Shen, David E. Carlson, Lawrence Carin

ICLR 2017 Adaptive Feature Abstraction for Translating Video to Language Yunchen Pu, Martin Renqiang Min, Zhe Gan, Lawrence Carin

IJCAI 2017 Exemplar-Centered Supervised Shallow Parametric Data Embedding Martin Renqiang Min, Hongyu Guo, Dongjin Song

AISTATS 2014 Interpretable Sparse High-Order Boltzmann Machines Martin Renqiang Min, Xia Ning, Chao Cheng, Mark Gerstein

ICML 2010 Deep Supervised T-Distributed Embedding Martin Renqiang Min, Laurens van der Maaten, Zineng Yuan, Anthony J. Bonner, Zhaolei Zhang