Li Ang
Founder and CEO @ Simular
Bio
Xin (Eric) Wang is an Assistant Professor of Computer Science and Engineering at UC Santa Cruz. His research interests include Natural Language Processing, Computer Vision, and Machine Learning, with an emphasis on Multimodal, Generative, and Embodied AI. He worked at Google Research, Facebook AI Research (FAIR), Microsoft Research, and Adobe Research. Xin has served as Area Chair for conferences such as ACL, NAACL, EMNLP, ICLR, and NeurIPS, as well as a Senior Program Committee for AAAI and IJCAI. He organized workshops and tutorials at conferences such as ACL, NAACL, CVPR, and ICCV. He has received several awards and recognitions for his work, including CVPR Best Student Paper Award, Google Research Faculty Award, Amazon Alexa Prize Awards, and various gift awards from Adobe, Snap, eBay, etc.
Hiring
If you are interested in joining my lab, please read the information for prospective students and visitors and check out the most beautiful and unique campus of UCSC [YouTube video | bilibili video]. Due to the large volumn of emails, I may not be able to respond to each one individually.
Teaching
- Winter 2021: CSE 142: Machine Learning
- Spring 2021: CSE 290C: Multimodal Deep Learning
- Fall 2021: CSE 142: Machine Learning
- Winter 2022: CSE 244B: Machine Learning for Natural Language Processing
- Spring 2022: CSE 142: Machine Learning
- Fall 2022: CSE 142: Machine Learning
- Winter 2023: CSE 244B: Machine Learning for Natural Language Processing
- Summer 2023: California State Summer School for Mathematics & Science: AI Cluster
- Spring 2024: CSE 142: Machine Learning
Selected Awards / Honors
- Amazon Alexa Prize Award (SocialBot Second Place), 2023.
- Amazon Alexa Prize Award (SimBot Third Place), 2023.
- Amazon Alexa Prize Award (TaskBot Finalist, Top 5), 2023.
- Google Faculty Research Award, 2022.
- AAII Interdisciplinary Research Award, 2022.
- UCSB Outstanding Publication Award, 2020.
- CVPR Best Student Paper Award, 2019.
- Top 100 Excellent Undergraduate Students of the Year, China Computer Federation, 2014
Publications
- Selected
- Read Anywhere Pointed: Layout-aware GUI Screen Reading with Tree-of-Lens Grounding
Yue Fan☆, Lei Ding, Ching-Chen Kuo, Shan Jiang, Yang Zhao, Xinze Guan, Jie Yang, Yi Zhang, Xin Eric Wang
Technical report
[Paper] [Website] [Code] [Dataset] - VIA: A Spatiotemporal Video Adaptation Framework for Global and Local Video Editing
Jing Gu☆, Yuwei Fang, Ivan Skorokhodov, Peter Wonka, Xinya Du, Sergey Tulyakov, Xin Eric Wang
Technical report
[Paper] [Website] [Code] - MMWorld: Towards Multi-discipline Multi-faceted World Model Evaluation in Videos
Xuehai He☆, Weixi Feng☆, Kaizhi Zheng☆, Yujie Lu☆, Wanrong Zhu☆, Jiachen Li☆, Yue Fan☆, Jianfeng Wang, Linjie Li, Zhengyuan Yang, Kevin Lin, William Yang Wang, Lijuan Wang, Xin Eric Wang
Technical report
[Paper] [Website] [Code] [Dataset] - Toffee: Efficient Million-Scale Dataset Construction for Subject-Driven Text-to-Image Generation
Yufan Zhou, Ruiyi Zhang, Kaizhi Zheng☆, Nanxuan Zhao, Jiuxiang Gu, Zichao Wang, Xin Eric Wang, Tong Sun
Technical report
[Paper] - Worse than Random? An Embarrassingly Simple Probing Evaluation of Large Multimodal Models in Medical VQA
Qianqi Yan☆, Xuehai He☆, Xiang Yue, Xin Eric Wang
Technical report
[Paper] [Website] [Code] [Dataset] - FlexEControl: Flexible and Efficient Multimodal Control for Text-to-Image Generation
Xuehai He☆, Jian Zheng, Jacob Zhiyuan Fang, Robinson Piramuthu, Mohit Bansal, Vicente Ordonez, Gunnar A Sigurdsson, Nanyun Peng, Xin Eric Wang
Technical report
[Paper] [Website] - LLM-Coordination: Evaluating and Analyzing Multi-Agent Coordination Abilities in Large Language Models
Saaket Agashe☆, Yue Fan☆, Anthony Reyna☆, Xin Eric Wang
Technical report
[Paper] [Website] [Code] - MiniGPT-5: Interleaved Vision-and-Language Generation via Generative Vokens
Kaizhi Zheng*☆, Xuehai He*☆, Xin Eric Wang
Technical report
[Paper] [Website] [Code] - Discriminative Diffusion Models as Few-shot Vision and Language Learners
Xuehai He☆, Weixi Feng☆, Tsu-Jui Fu☆, Varun Jampani, Arjun Akula, Pradyumna Narayana, Sugato Basu, William Yang Wang, Xin Eric Wang
Technical report
[Paper] [Website] [Code] - Multimodal Procedural Planning via Dual Text-Image Prompting
Yujie Lu☆, Pan Lu, Zhiyu Chen, Wanrong Zhu☆, Xin Eric Wang, William Yang Wang
Technical report
[Paper] [Code]
- Read Anywhere Pointed: Layout-aware GUI Screen Reading with Tree-of-Lens Grounding
- 2024
- SwapAnything: Enabling Arbitrary Object Swapping in Personalized Visual Editing
Jing Gu☆, Yilin Wang, Nanxuan Zhao, Wei Xiong, Qing Liu, Zhifei Zhang, He Zhang, Jianming Zhang, HyunJoon Jung, Xin Eric Wang
ECCV 2024
[Paper] [Website] [Code] - NavGPT-2: Unleashing Navigational Reasoning Capability for Large Vision-Language Models
Gengze Zhou, Yicong Hong, Zun Wang, Xin Eric Wang, Qi Wu
ECCV 2024 - Muffin or Chihuahua? Challenging Large Vision-Language Models with Multipanel VQA
Yue Fan☆, Jing Gu☆, Kaiwen Zhou☆, Qianqi Yan☆, Shan Jiang, Ching-Chen Kuo, Xinze Guan, Xin Eric Wang
ACL 2024
[Paper] [Website] [Code] [Data] - ViCor: Bridging Visual Understanding and Commonsense Reasoning with Large Language Models
Kaiwen Zhou☆, Kwonjoon Lee, Teruhisa Misu, Xin Eric Wang
ACL 2024
[Paper] - Navigation as Attackers Wish? Towards Building Byzantine-Robust Embodied Agents under Federated Learning
Yunchao Zhang☆, Zonglin Di☆, Kaiwen Zhou☆, Cihang Xie, Xin Eric Wang
NAACL 2024
[Paper] [Website] [Code] - ComCLIP: Training-Free Compositional Image and Text Matching
Kenan Jiang*☆, Xuehai He*☆, Ruize Xu☆, Xin Eric Wang
NAACL 2024
[Paper] [Website] [Code]
- SwapAnything: Enabling Arbitrary Object Swapping in Personalized Visual Editing
- 2023
- Photoswap: Personalized Subject Swapping in Images
Jing Gu☆, Yilin Wang, Nanxuan Zhao, Tsu-Jui Fu☆, Wei Xiong, Qing Liu, Zhifei Zhang, He Zhang, Jianming Zhang, HyunJoon Jung, Xin Eric Wang
NeurIPS 2023
[Paper] [Website] [Code] - LayoutGPT: Compositional Visual Planning and Generation with Large Language Models
Weixi Feng☆, Wanrong Zhu☆, Tsu-jui Fu☆, Varun Jampani, Arjun Akula, Xuehai He☆, Sugato Basu, Xin Eric Wang, William Yang Wang
NeurIPS 2023
[Paper] [Website] [Code] - LLMScore: Unveiling the Power of Large Language Models in Text-to-Image Synthesis Evaluation
Yujie Lu☆, Xianjun Yang, Xiujun Li, Xin Eric Wang, William Yang Wang
NeurIPS 2023
[Paper] [Code] - R2H: Building Multimodal Navigation Helpers that Respond to Help Requests
Yue Fan☆, Jing Gu☆, Kaizhi Zheng☆, Xin Eric Wang
EMNLP 2023
[Paper] [Website] [Code] - Collaborative Generative AI: Integrating GPT-k for Efficient Editing in Text-to-Image Generation
Wanrong Zhu☆, Xinyi Wang, Yujie Lu☆, Tsu-Jui Fu☆, Xin Eric Wang, Miguel Eckstein, William Yang Wang
EMNLP 2023
[Paper] - Parameter-Efficient Cross-lingual Transfer of Vision and Language Models via Translation-based Alignment
Zhen Zhang☆, Jialu Wang☆, Xin Eric Wang
Findings of EMNLP 2023
[Paper] [Code] - ESC: Exploration with Soft Commonsense Constraints for Zero-shot Object Navigation
Kaiwen Zhou☆, Kaizhi Zheng☆, Connor Pryor, Yilin Shen, Hongxia Jin, Lise Getoor, Xin Eric Wang
ICML 2023
[Paper] [Website] - Aerial Vision-and-Dialog Navigation
Yue Fan☆, Winson Chen☆, Tongzhou Jiang☆, Chun Zhou☆, Yi Zhang, Xin Eric Wang
Findings of ACL 2023
[Paper] [Website] [Code] - T2IAT: Measuring Valence and Stereotypical Biases in Text-to-Image Generation
Jialu Wang☆, Xinyue Gabby Liu☆, Zonglin Di☆, Yang Liu, Xin Eric Wang
Findings of ACL 2023
[Paper] [Code] [Demo] - Training-Free Structured Diffusion Guidance for Compositional Text-to-Image Synthesis
Weixi Feng☆, Xuehai He☆, Tsu-Jui Fu☆, Varun Jampani, Arjun Akula, Pradyumna Narayana, Sugato Basu, Xin Eric Wang, William Yang Wang
ICLR 2023
[Paper] [Website] [Code] - Neuro-Symbolic Procedural Planning with Commonsense Prompting
Yujie Lu☆, Weixi Feng☆, Wanrong Zhu☆, Wenda Xu, Xin Eric Wang, Miguel Eckstein, William Yang Wang
ICLR 2023
Spotlight Presentation
[Paper] [Code] - Multimodal Graph Transformer for Multimodal Question Answering
Xuehai He☆, Xin Eric Wang
EACL 2023
[Paper] - Visualize Before You Write: Imagination-Guided Open-Ended Text Generation
Wanrong Zhu☆, An Yan☆, Yujie Lu☆, Wenda Xu, Xin Eric Wang, Miguel Eckstein, William Yang Wang
EACL 2023
[Paper] [Code] - ImaginE: An Imagination-Based Automatic Evaluation Metric for Natural Language Generation
Wanrong Zhu☆, Xin Eric Wang, An Yan, Miguel Eckstein, William Yang Wang
EACL 2023
[Paper] - Parameter-efficient Model Adaptation for Vision Transformers
Xuehai He☆, Chunyuan Li, Pengchuan Zhang, Jianwei Yang, Xin Eric Wang
AAAI 2023
[Paper] [Website] [Code] - Athena 3.0: Personalized Multimodal Chatbot with Neuro-symbolic Dialogue Generators
Yue Fan, Kevin K. Bowden, Wen Cui, Winson Chen, Vrindavan Harrison, Angela Ramirez, Saaket Agashe, Xinyue Gabby Liu, Neha Pullabhotla, Nan Qiang, Jeshwanth Bheemanpally, Sugam Garg, Marilyn Walker, Xin Eric Wang
Alexa Prize SocialBot Grand Challenge 5 Proceedings 2023
[Paper] - Sage: A Multimodal Knowledge Graph-based Conversational Agent for Complex Task Guidance
Kaizhi Zheng, Jeshwanth Bheemanpally, Bhrigu Garg, Seongsil Heo, Dhananjay Sonawane, Winson Chen, Shree Vignesh S, Xin Eric Wang
Alexa Prize TaskBot Challenge 2 Proceedings 2023
[Paper] - SlugJARVIS: Multimodal Commonsense Knowledge-based Embodied AI for SimBot Challenge
Jing Gu, Kaizhi Zheng, Kaiwen Zhou, Yue Fan, Xuehai He, Jialu Wang, Zonglin Di, Xin Eric Wang
Alexa Prize SimBot Challenge Proceedings 2023
[Paper]
- Photoswap: Personalized Subject Swapping in Images
- 2022
- CPL: Counterfactual Prompt Learning for Vision and Language Models
Xuehai He☆, Diji Yang☆, Weixi Feng☆, Tsu-Jui Fu☆, Arjun Akula, Varun Jampani, Pradyumna Narayana, Sugato Basu, William Yang Wang, Xin Eric Wang
EMNLP 2022
[Paper] [Website] [Code] - VLMbench: A Compositional Benchmark for Vision-and-Language Manipulation
Kaizhi Zheng☆, Xiaotong Chen, Odest Chad Jenkins, Xin Eric Wang
NeurIPS 2022
[Paper] [Website] [Code] - FedVLN: Privacy-preserving Federated Vision-and-Language Navigation
Kaiwen Zhou☆, Xin Eric Wang
ECCV 2022
[Paper] [Code] - Language-Driven Artistic Style Transfer
Tsu-Jui Fu☆, Xin Eric Wang, William Yang Wang
ECCV 2022
[Paper] [Code] - Understanding Instance-Level Impact of Fairness Constraints
Jialu Wang☆, Xin Eric Wang, Yang Liu
ICML 2022
[Paper] [Code] - Imagination-Augmented Natural Language Understanding
Yujie Lu☆, Wanrong Zhu☆, Xin Eric Wang, Miguel Eckstein, William Yang Wang
NAACL 2022
Oral presentation
[Paper] [Code] - Diagnosing Vision-and-Language Navigation: What Really Matters
Wanrong Zhu☆, Yuankai Qi, Pradyumna Narayana, Kazoo Sone, Sugato Basu, Xin Eric Wang, Qi Wu, Miguel Eckstein, William Yang Wang
NAACL 2022
Oral presentation
[Paper] [Code] - JARVIS: A Neuro-Symbolic Commonsense Reasoning Framework for Conversational Embodied Agents
Kaizhi Zheng☆, Kaiwen Zhou☆, Jing Gu☆, Yue Fan☆, Jialu Wang☆, Zonglin Di☆, Xuehai He☆, Xin Eric Wang
SoCal NLP 2022
Winner Model of the Alexa Prize SimBot Public Benchmark Challenge LINK
[Paper] - Compositional Temporal Grounding with Structured Variational Cross-Graph Correspondence Learning
Juncheng Li☆, Junlin Xie, Long Qian, Linchao Zhu, Siliang Tang, Fei Wu, Yi Yang, Yueting Zhuang, Xin Eric Wang
CVPR 2022
[Paper] [Code] - M3L: Language-based Video Editing via Multi-Modal Multi-Level Transformer
Tsu-Jui Fu☆, Xin Eric Wang, Scott Grafton, Miguel Eckstein, William Yang Wang
CVPR 2022
[Paper] [Dataset] [Video] - Vision-and-Language Navigation: A Survey of Tasks, Methods, and Future Directions
Jing Gu☆, Eliana Stefani☆, Qi Wu, Jesse Thomason, Xin Eric Wang
ACL 2022
[Paper] [Code] - Assessing Multilingual Fairness in Pretrained Multimodal Representations
Jialu Wang☆, Yang Liu, Xin Eric Wang
Findings of ACL 2022
[Paper] - Interpretable Research Replication Prediction via Variational Contextual Consistency Sentence Masking
Tianyi Luo☆, Rui Meng, Xin Eric Wang, Yang Liu
Findings of ACL 2022
[Paper]
- CPL: Counterfactual Prompt Learning for Vision and Language Models
- 2021
- Are Gender-Neutral Queries Really Gender-Neutral? Mitigating Gender Bias in Image Search
Jialu Wang☆, Yang Liu, Xin Eric Wang
EMNLP 2021
Oral presentation
[Paper] [Code] - VALUE: A Multi-Task Benchmark for Video-and-Language Understanding Evaluation
Linjie Li, Jie Lei, Zhe Gan, Licheng Yu, Yen-Chun Chen, Rohit Pillai, Yu Cheng, Luowei Zhou, Xin Eric Wang,
William Yang Wang, Tamara Lee Berg, Mohit Bansal, Jingjing Liu, Lijuan Wang, Zicheng Liu
NeurIPS 2021
[Paper] [Website] [Code] [Data] - Visual Question Rewriting for Increasing Response Rate
Jiayi Wei☆, Xilian Li☆, Yi Zhang, Xin Eric Wang
SIGIR 2021
[Paper] [Code] - Multimodal Text Style Transfer for Outdoor Vision-and-Language Navigation
Wanrong Zhu☆, Xin Eric Wang, Tsu-Jui Fu, An Yan, Pradyumna Narayana, Kazoo Sone, Sugato Basu, William Yang Wang
EACL 2021
[Paper] [Code] - L2C: Describing Visual Differences Needs Semantic Understanding of Individuals
An Yan☆, Xin Eric Wang, Tsu-Jui Fu, William Yang Wang
EACL 2021
[Paper]
- Are Gender-Neutral Queries Really Gender-Neutral? Mitigating Gender Bias in Image Search
- 2020
- Closing the Loop Between Language and Vision for Embodied Agents
Xin Wang
UC Santa Barbara
[PhD Dissertation] - SSCR: Iterative Language-Based Image Editing via Self-Supervised Counterfactual Reasoning
Tsu-Jui Fu☆, Xin Eric Wang, Scott Grafton, Miguel Eckstein, William Yang Wang
EMNLP 2020
Oral presentation
[Paper] [Code] [Slides] - Towards Understanding Sample Variance in Visually Grounded Language Generation: Evaluations and Observations
Wanrong Zhu☆, Xin Eric Wang, Pradyumna Narayana, Kazoo Sone, Sugato Basu, William Yang Wang
EMNLP 2020
[Paper] - Learning to Stop: A Simple yet Effective Approach to Urban Vision-Language Navigation
Jiannan Xiang☆, Xin Eric Wang, William Yang Wang
Findings of EMNLP 2020
[Paper] - Environment-agnostic Multitask Learning for Natural Language Grounded Navigation
Xin Eric Wang*, Vihan Jain*, Eugene Ie, William Yang Wang, Zornitsa Kozareva, Sujith Ravi
ECCV 2020
Ranking 1st on the CVDN leaderboard
[Paper] [Code] [Video] [Slides] - Counterfactual Vision-and-Language Navigation via Adversarial Path Sampling
Tsu-Jui Fu☆, Xin Eric Wang, Matthew Peterson, Scott Grafton, Miguel Eckstein, William Yang Wang
ECCV 2020
Spotlight presentation
[Paper] [Video] [Slides] - Unsupervised Reinforcement Learning of Transferable Meta-Skills for Embodied Navigation
Juncheng Li☆, Xin Wang, Siliang Tang, Haizhou Shi, Fei Wu, Yueting Zhuang, William Yang Wang
CVPR 2020
[Paper] [Video] - REVERIE: Remote Embodied Visual Referring Expression in Real Indoor Environments
Yuankai Qi, Qi Wu, Peter Anderson, Xin Wang, William Yang Wang, Chunhua Shen, Anton van den Hengel
CVPR 2020
Oral presentation
[Paper] [Code] [Video] - Vision-Language Navigation Policy Learning and Adaptation
Xin Wang, Qiuyuan Huang, Asli Celikyilmaz, Jianfeng Gao, Dinghan Shen, Yuan-Fang Wang, William Yang Wang, Lei Zhang
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
Journal version of the CVPR 2019 Best Student Paper - Generative Adversarial Zero-Shot Relational Learning for Knowledge Graphs
Pengda Qin, Xin Wang, Wenhu Chen, Chunyun Zhang, Weiran Xu, William Yang Wang
AAAI 2020
Oral presentation
[Paper] [Code]
- Closing the Loop Between Language and Vision for Embodied Agents
- 2019
- TIGEr: Text-to-Image Grounding for Image Caption Evaluation
Ming Jiang, Qiuyuan Huang, Lei Zhang, Xin Wang, Pengchuan Zhang, Zhe Gan, Jana Diesner, Jianfeng Gao
EMNLP-IJCNLP 2019
[Paper] [Code] [bibtex] - VATEX: A Large-Scale, High-Quality Multilingual Dataset for Video-and-Language Research
Xin Wang*, Jiawei Wu*, Junkun Chen, Lei Li, Yuan-Fang Wang, William Yang Wang
ICCV 2019
Oral presentation
[Paper] [Website] [Video] [bibtex] - Reinforced Cross-Modal Matching and Self-Supervised Imitation Learning for Vision-Language Navigation
Xin Wang, Qiuyuan Huang, Asli Celikyilmaz, Jianfeng Gao, Dinghan Shen, Yuan-Fang Wang, William Yang Wang, Lei Zhang
CVPR 2019
Best Student Paper (1/5160=0.02%)
[Paper] [Video] [bibtex] - MAN: Moment Alignment Network for Natural Language Moment Retrieval via Iterative Graph Adjustment
Da Zhang, Xiyang Dai, Xin Wang, Yuan-Fang Wang, Larry S. Davis
CVPR 2019
[Paper] [bibtex] - Self-Supervised Dialogue Learning
Jiawei Wu, Xin Wang, William Yang Wang
ACL 2019
[Paper] [bibtex] - Self-Supervised Learning for Contextualized Extractive Summarization
Hong Wang, Xin Wang, Wenhan Xiong, Mo Yu, Xiaoxiao Guo, Shiyu Chang, William Yang Wang
ACL 2019
[Paper] [Code] [bibtex] - Towards Generating Long and Coherent Text with Multi-Level Latent Variable Models
Dinghan Shen, Asli Celikyilmaz, Yizhe Zhang, Liqun Chen, Xin Wang, Jianfeng Gao, Lawrence Carin
ACL 2019
[Paper] [bibtex] - Extract and Edit: An Alternative to Back-Translation for Unsupervised Neural Machine Translation
Jiawei Wu, Xin Wang, William Yang Wang
NAACL 2019
Oral presentation
[Paper] [bibtex] - Learning to Compose Topic-Aware Mixture of Experts for Zero-Shot Video Captioning
Xin Wang, Jiawei Wu, Da Zhang, Yu Su, William Yang Wang
AAAI 2019
Oral presentation
[Paper] [Code] [bibtex]
- TIGEr: Text-to-Image Grounding for Image Caption Evaluation
- 2018 and before
- Look Before You Leap: Bridging Model-Free and Model-Based Reinforcement Learning for Planned-Ahead Vision-and-Language Navigation
Xin Wang*, Wenhan Xiong*, Hongmin Wang, William Yang Wang
ECCV 2018
[Paper] [bibtex] - XL-NBT: A Cross-lingual Neural Belief Tracking Framework
Wenhu Chen, Jianshu Chen, Yu Su, Xin Wang, Dong Yu, Xifeng Yan, William Yang Wang
EMNLP 2018
[Paper] [Code] [bibtex] - No Metrics Are Perfect: Adversarial Reward Learning for Visual Storytelling
Xin Wang*, Wenhu Chen*, Yuan-Fang Wang, William Yang Wang
ACL 2018
Oral presentation
[Paper] [Code] [Video] [Slides (pptx)] [Slides (pdf)] [bibtex] - S3D: Single Shot multi-Span Detector via Fully 3D Convolutional Network
Da Zhang, Xiyang Dai, Xin Wang, Yuan-Fang Wang
BMVC 2018
Oral presentation
[Paper] [Code] [Video] [Slides] [bibtex] - Video Captioning via Hierarchical Reinforcement Learning
Xin Wang, Wenhu Chen, Jiawei Wu, Yuan-Fang Wang, William Yang Wang
CVPR 2018
[Paper] [Supp] [Dataset] [bibtex] - Watch, Listen, and Describe: Globally and Locally Aligned Cross-Modal Attentions for Video Captioning
Xin Wang, Yuan-Fang Wang, William Yang Wang
NAACL-HLT 2018
[Paper] [Paper] [bibtex] - Multimodal Transfer: A Hierarchical Deep Convolutional Neural Network for Fast Artistic Style Transfer
Xin Wang, Geoffrey Oxholm, Da Zhang, Yuan-Fang Wang
CVPR 2017
[Paper] [Supp] [Images] [Code (Third-Party)] [bibtex] - Deep Reinforcement Learning for Visual Object Tracking in Videos
Da Zhang, Hamid Maei, Xin Wang, Yuan-Fang Wang
Tech report 2017
[Paper] [bibtex]
- Look Before You Leap: Bridging Model-Free and Model-Based Reinforcement Learning for Planned-Ahead Vision-and-Language Navigation
Service
- 3rd Workshop on Advances in Language and Vision Research (ALVR), ACL 2024
- 4th Workshop on Spatial Language Understanding and Grounded Communication for Robotics (SpLU-RoboNLP), ACL 2024
- 3rd Workshop on Spatial Language Understanding and Grounded Communication for Robotics (SpLU-RoboNLP), EMNLP 2023
- 5th Workshop on Closing the Loop Between Vision and Language (CLVL), ICCV 2023
- Workshop on Human Interaction for Robot Navigation, ICCV 2021
- 4th Workshop on Closing the Loop Between Vision and Language (CLVL), ICCV 2021
- From VQA to VLN: Recent Advances in Vision-and-Language Research Tutorial, CVPR 2021
- 2nd Workshop on Advances in Language and Vision Research (ALVR), NAACL 2021
- Workshop on Advances in Language and Vision Research (ALVR), ACL 2020
- Workshop on Language & Vision with applications to Video Understanding, CVPR 2020
- Tutorial on Self-Supervised Deep Learning for NLP, AACL-IJCNLP 2020
- 3rd Workshop on Closing the Loop Between Vision and Language (CLVL), ICCV 2019
- ICLR 2024
- NeurIPS 2023
- ACL 2023
- ICLR 2023
- EMNLP 2022
- NAACL 2022
- ACL 2022
- AACL-IJCNLP 2022
- IJCAI-ECAI 2022
- AAAI 2022
- CoNLL 2021
- NLPCC 2021 (Multimodality)
- NAACL 2021 (Interpretability and Analysis of Models for NLP)
- IJCAI 2021
- EMNLP 2020 (Interpretability and Analysis of Models for NLP)
- NAACL 2021
- EMNLP 2020 (Language Grounding to Vision, Robotics and Beyond)
- AAAI 2019 (Natural Language Processing)
.svg)
Ready to use your computer
in a Simular way?
Personal AI that can perceive, reason and act on your computers.
Take notes
Notifications
Give feedback
Play computer actions
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
.svg)