Junnan Li

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 75

Top Topics

Object Detection

Social Relations

Learning From Noisy Data

Top Venues

Publications

Anthony Meng Huat Tiong, Junqi Zhao, Boyang Li, Junnan Li, Steven C. H. Hoi, Caiming Xiong
What Are We Measuring When We Evaluate Large Vision-Language Models? An Analysis of Latent Factors and Biases. NAACL-HLT (2024)
Anthony Meng Huat Tiong, Junqi Zhao, Boyang Li, Junnan Li, Steven C. H. Hoi, Caiming Xiong
What Are We Measuring When We Evaluate Large Vision-Language Models? An Analysis of Latent Factors and Biases. CoRR (2024)
Nghi D. Q. Bui, Hung Le, Yue Wang, Junnan Li, Akhilesh Deepak Gotmare, Steven C. H. Hoi
CodeTF: One-stop Transformer Library for State-of-the-art Code LLM. CoRR (2023)
Wenliang Dai, Junnan Li, Dongxu Li, Anthony Meng Huat Tiong, Junqi Zhao, Weisheng Wang, Boyang Li, Pascale Fung, Steven C. H. Hoi
InstructBLIP: Towards General-purpose Vision-Language Models with Instruction Tuning. CoRR (2023)
Akhilesh Deepak Gotmare, Junnan Li, Shafiq Joty, Steven C. H. Hoi
Efficient Text-to-Code Retrieval with Cascaded Fast and Slow Transformer Models. ESEC/SIGSOFT FSE (2023)
Yutong Dai, Zeyuan Chen, Junnan Li, Shelby Heinecke, Lichao Sun, Ran Xu
Tackling Data Heterogeneity in Federated Learning with Class Prototypes. AAAI (2023)
Wenliang Dai, Junnan Li, Dongxu Li, Anthony Meng Huat Tiong, Junqi Zhao, Weisheng Wang, Boyang Li, Pascale Fung, Steven C. H. Hoi
InstructBLIP: Towards General-purpose Vision-Language Models with Instruction Tuning. NeurIPS (2023)
Dongxu Li, Junnan Li, Hung Le, Guangsen Wang, Silvio Savarese, Steven C. H. Hoi
LAVIS: A One-stop Library for Language-Vision Intelligence. ACL (demo) (2023)
Artemis Panagopoulou, Le Xue, Ning Yu, Junnan Li, Dongxu Li, Shafiq Joty, Ran Xu, Silvio Savarese, Caiming Xiong, Juan Carlos Niebles
X-InstructBLIP: A Framework for aligning X-Modal instruction-aware representations to LLMs and Emergent Cross-modal Reasoning. CoRR (2023)
Junnan Li, Dongxu Li, Silvio Savarese, Steven C. H. Hoi
BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models. CoRR (2023)
Dongxu Li, Junnan Li, Steven C. H. Hoi
BLIP-Diffusion: Pre-trained Subject Representation for Controllable Text-to-Image Generation and Editing. NeurIPS (2023)
Yue Wang, Hung Le, Akhilesh Gotmare, Nghi D. Q. Bui, Junnan Li, Steven C. H. Hoi
CodeT5+: Open Code Large Language Models for Code Understanding and Generation. EMNLP (2023)
Anthony Meng Huat Tiong, Junnan Li, Guosheng Lin, Boyang Li, Caiming Xiong, Steven C. H. Hoi
Improving Tail-Class Representation with Centroid Contrastive Learning. Pattern Recognit. Lett. 168 (2023)
Junnan Li, Silvio Savarese, Steven C. H. Hoi
Masked Unsupervised Self-training for Label-free Image Classification. ICLR (2023)
Jiaxian Guo, Junnan Li, Dongxu Li, Anthony Meng Huat Tiong, Boyang Li, Dacheng Tao, Steven C. H. Hoi
From Images to Textual Prompts: Zero-shot Visual Question Answering with Frozen Large Language Models. CVPR (2023)
Yue Wang, Hung Le, Akhilesh Deepak Gotmare, Nghi D. Q. Bui, Junnan Li, Steven C. H. Hoi
CodeT5+: Open Code Large Language Models for Code Understanding and Generation. CoRR (2023)
Dongxu Li, Junnan Li, Steven C. H. Hoi
BLIP-Diffusion: Pre-trained Subject Representation for Controllable Text-to-Image Generation and Editing. CoRR (2023)
Dongxu Li, Junnan Li, Hung Le, Guangsen Wang, Silvio Savarese, Steven C. H. Hoi
LAVIS: A Library for Language-Vision Intelligence. CoRR (2022)
Anthony Meng Huat Tiong, Junnan Li, Boyang Li, Silvio Savarese, Steven C. H. Hoi
Plug-and-Play VQA: Zero-shot VQA by Conjoining Large Pretrained Models with Zero Training. EMNLP (Findings) (2022)
Junnan Li, Silvio Savarese, Steven C. H. Hoi
Masked Unsupervised Self-training for Zero-shot Image Classification. CoRR (2022)
Junnan Li, Dongxu Li, Caiming Xiong, Steven C. H. Hoi
BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation. CoRR (2022)
Anthony Meng Huat Tiong, Junnan Li, Boyang Li, Silvio Savarese, Steven C. H. Hoi
Plug-and-Play VQA: Zero-shot VQA by Conjoining Large Pretrained Models with Zero Training. CoRR (2022)
Yutong Dai, Zeyuan Chen, Junnan Li, Shelby Heinecke, Lichao Sun, Ran Xu
Tackling Data Heterogeneity in Federated Learning with Class Prototypes. CoRR (2022)
Mingfei Gao, Chen Xing, Juan Carlos Niebles, Junnan Li, Ran Xu, Wenhao Liu, Caiming Xiong
Open Vocabulary Object Detection with Pseudo Bounding-Box Labels. ECCV (10) (2022)
Jiaxian Guo, Junnan Li, Dongxu Li, Anthony Meng Huat Tiong, Boyang Li, Dacheng Tao, Steven C. H. Hoi
From Images to Textual Prompts: Zero-shot VQA with Frozen Large Language Models. CoRR (2022)
Junnan Li, Dongxu Li, Caiming Xiong, Steven C. H. Hoi
BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation. ICML (2022)
Dongxu Li, Junnan Li, Hongdong Li, Juan Carlos Niebles, Steven C. H. Hoi
Align and Prompt: Video-and-Language Pre-training with Entity Prompts. CVPR (2022)
Guangsen Wang, Shafiq R. Joty, Junnan Li, Steven C. H. Hoi
BotSIM: An End-to-End Bot Simulation Toolkit for Commercial Task-Oriented Dialog Systems. CoRR (2022)
Mingfei Gao, Chen Xing, Juan Carlos Niebles, Junnan Li, Ran Xu, Wenhao Liu, Caiming Xiong
Towards Open Vocabulary Object Detection without Human-provided Bounding Boxes. CoRR (2021)
Junnan Li, Ramprasaath R. Selvaraju, Akhilesh Gotmare, Shafiq R. Joty, Caiming Xiong, Steven Chu-Hong Hoi
Align before Fuse: Vision and Language Representation Learning with Momentum Distillation. NeurIPS (2021)
Akhilesh Deepak Gotmare, Junnan Li, Shafiq R. Joty, Steven C. H. Hoi
Cascaded Fast and Slow Models for Efficient Semantic Code Search. CoRR (2021)
Dongxu Li, Junnan Li, Hongdong Li, Juan Carlos Niebles, Steven C. H. Hoi
Align and Prompt: Video-and-Language Pre-training with Entity Prompts. CoRR (2021)
Junnan Li, Ramprasaath R. Selvaraju, Akhilesh Deepak Gotmare, Shafiq R. Joty, Caiming Xiong, Steven C. H. Hoi
Align before Fuse: Vision and Language Representation Learning with Momentum Distillation. CoRR (2021)
Junnan Li, Caiming Xiong, Steven C. H. Hoi
MoPro: Webly Supervised Learning with Momentum Prototypes. ICLR (2021)
Anthony Meng Huat Tiong, Junnan Li, Guosheng Lin, Boyang Li, Caiming Xiong, Steven C. H. Hoi
Improving Tail-Class Representation with Centroid Contrastive Learning. CoRR (2021)
Junnan Li, Caiming Xiong, Steven C. H. Hoi
CoMatch: Semi-supervised Learning with Contrastive Graph Regularization. ICCV (2021)
Junnan Li, Caiming Xiong, Steven C. H. Hoi
Learning from Noisy Data with Robust Representation Learning. ICCV (2021)
Junnan Li, Pan Zhou, Caiming Xiong, Steven C. H. Hoi
Prototypical Contrastive Learning of Unsupervised Representations. ICLR (2021)
Bingjie Xu, Junnan Li, Yongkang Wong, Qi Zhao, Mohan S. Kankanhalli
Interact as You Intend: Intention-Driven Human-Object Interaction Detection. IEEE Trans. Multim. 22 (6) (2020)
Junnan Li, Yongkang Wong, Qi Zhao, Mohan S. Kankanhalli
Video Storytelling: Textual Summaries for Events. IEEE Trans. Multim. 22 (2) (2020)
Junnan Li, Caiming Xiong, Steven C. H. Hoi
MoPro: Webly Supervised Learning with Momentum Prototypes. CoRR (2020)
Junnan Li, Jianquan Liu, Yongkang Wang, Shoji Nishimura, Mohan S. Kankanhalli
Weakly-Supervised Multi-Person Action Recognition in 360° Videos. WACV (2020)
Junnan Li, Richard Socher, Steven C. H. Hoi
DivideMix: Learning with Noisy Labels as Semi-supervised Learning. CoRR (2020)
Junnan Li, Yongkang Wong, Qi Zhao, Mohan S. Kankanhalli
Visual Social Relationship Recognition. Int. J. Comput. Vis. 128 (6) (2020)
Yuxuan Jiang, Koichi Nihei, Junnan Li, Hiroshi Yoshida, Dai Kanetomo
Learning on the Fly: An RNN-Based Online Throughput Prediction Framework for UAV Communications. ICC Workshops (2020)
Junnan Li, Richard Socher, Steven C. H. Hoi
DivideMix: Learning with Noisy Labels as Semi-supervised Learning. ICLR (2020)
Junnan Li, Caiming Xiong, Richard Socher, Steven C. H. Hoi
Towards Noise-resistant Object Detection with Noisy Annotations. CoRR (2020)
Junnan Li, Ziwei Xu, Yongkang Wong, Qi Zhao, Mohan S. Kankanhalli
GradMix: Multi-source Transfer across Domains and Tasks. CoRR (2020)
Junnan Li, Jianquan Liu, Yongkang Wong, Shoji Nishimura, Mohan S. Kankanhalli
Weakly-Supervised Multi-Person Action Recognition in 360° Videos. CoRR (2020)
Tao Wang, Yu Li, Bingyi Kang, Junnan Li, Jun Hao Liew, Sheng Tang, Steven C. H. Hoi, Jiashi Feng
The Devil is in Classification: A Simple Framework for Long-tail Instance Segmentation. CoRR (2020)
Junnan Li, Caiming Xiong, Steven C. H. Hoi
CoMatch: Semi-supervised Learning with Contrastive Graph Regularization. CoRR (2020)
Junnan Li, Ziwei Xu, Yongkang Wang, Qi Zhao, Mohan S. Kankanhalli
GradMix: Multi-source Transfer across Domains and Tasks. WACV (2020)
Junnan Li, Pan Zhou, Caiming Xiong, Richard Socher, Steven C. H. Hoi
Prototypical Contrastive Learning of Unsupervised Representations. CoRR (2020)
Isabela Albuquerque, Nikhil Naik, Junnan Li, Nitish Shirish Keskar, Richard Socher
Improving out-of-distribution generalization via multi-task self-supervised pretraining. CoRR (2020)
Tao Wang, Yu Li, Bingyi Kang, Junnan Li, Jun Hao Liew, Sheng Tang, Steven C. H. Hoi, Jiashi Feng
The Devil Is in Classification: A Simple Framework for Long-Tail Instance Segmentation. ECCV (14) (2020)
Tao Wang, Yu Li, Bingyi Kang, Junnan Li, Jun Hao Liew, Sheng Tang, Steven C. H. Hoi, Jiashi Feng
Classification Calibration for Long-tail Instance Segmentation. CoRR (2019)
Tian Gan, Junnan Li, Yongkang Wong, Mohan S. Kankanhalli
A Multi-sensor Framework for Personal Presentation Analytics. ACM Trans. Multim. Comput. Commun. Appl. 15 (2) (2019)
Junnan Li, Jianquan Liu, Yongkang Wong, Shoji Nishimura, Mohan S. Kankanhalli
Self-supervised Representation Learning Using 360° Data. ACM Multimedia (2019)
An-An Liu, Zhuang Shao, Yongkang Wong, Junnan Li, Yuting Su, Mohan S. Kankanhalli
LSTM-based multi-label video event detection. Multim. Tools Appl. 78 (1) (2019)
Bingjie Xu, Yongkang Wong, Junnan Li, Qi Zhao, Mohan S. Kankanhalli
Learning to Detect Human-Object Interactions With Knowledge. CVPR (2019)
Lu Li, Junnan Li, Lei Qin, Jiawei Cao, Mohan S. Kankanhalli, Jian Zhu
Deep Reinforcement Learning in Soft Viscoelastic Actuator of Dielectric Elastomer. IEEE Robotics Autom. Lett. 4 (2) (2019)
Junnan Li, Yongkang Wong, Qi Zhao, Mohan S. Kankanhalli
Learning to Learn From Noisy Labeled Data. CVPR (2019)
Junnan Li, Yongkang Wong, Qi Zhao, Mohan S. Kankanhalli
Visual Social Relationship Recognition. CoRR (2018)
Junnan Li, Yongkang Wong, Qi Zhao, Mohan S. Kankanhalli
Unsupervised Learning of View-invariant Action Representations. NeurIPS (2018)
Junnan Li, Yongkang Wong, Qi Zhao, Mohan S. Kankanhalli
Unsupervised Learning of View-invariant Action Representations. CoRR (2018)
Junnan Li, Yongkang Wong, Qi Zhao, Mohan S. Kankanhalli
Video Storytelling. CoRR (2018)
Bingjie Xu, Junnan Li, Yongkang Wong, Mohan S. Kankanhalli, Qi Zhao
Interact as You Intend: Intention-Driven Human-Object Interaction Detection. CoRR (2018)
Junnan Li, Yongkang Wong, Qi Zhao, Mohan S. Kankanhalli
Learning to Learn from Noisy Labeled Data. CoRR (2018)
Junnan Li, Yongkang Wong, Qi Zhao, Mohan S. Kankanhalli
Attention Transfer from Web Images for Video Recognition. ACM Multimedia (2017)
Junnan Li, Yongkang Wong, Qi Zhao, Mohan S. Kankanhalli
Attention Transfer from Web Images for Video Recognition. CoRR (2017)
Junnan Li, Yongkang Wong, Qi Zhao, Mohan S. Kankanhalli
Dual-Glance Model for Deciphering Social Relationships. CoRR (2017)
Junnan Li, Yongkang Wong, Qi Zhao, Mohan S. Kankanhalli
Dual-Glance Model for Deciphering Social Relationships. ICCV (2017)
An-An Liu, Ning Xu, Yongkang Wong, Junnan Li, Yuting Su, Mohan S. Kankanhalli
Hierarchical & multimodal video captioning: Discovering and transferring multimodal knowledge for vision to language. Comput. Vis. Image Underst. 163 (2017)
Junnan Li, Yongkang Wong, Mohan S. Kankanhalli
Demo Paper: PreSense - An Assistive Presentation Self-Quantification System. ISM (2016)
Junnan Li, Yongkang Wong, Mohan S. Kankanhalli
Multi-stream Deep Learning Framework for Automated Presentation Assessment. ISM (2016)