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The Vision, Language, and Learning Lab at the University of Virginia
The vision, language and learning lab, vislang, at Rice University pursues fundamental research at the intersection of computer vision, natural language processing and machine learning. We aim to create intelligent systems that can learn from vast amounts of visual and textual information, that can integrate and enhance human experiences, and that can resolve complex tasks that typically require human intelligence.
Read about some of our work on bias in visual recognition in WIRED and Glamour. Some of our work on analyzing movies on TechXplore, and our work on generating images from text in the blogs of IBM and NVIDIA. More recently we discussed AI risks with Telemundo Houston and biases in image recognition with The New York Times.
News and Announcements
- 09/2025. Moayed has his work on Decomposable Flow Matching (DFM) accepted to NeurIPS 2025 [DFM]
- 09/2025. Jaywon, Jefferson and Moayed have their work on evaluating text-to-image synthesis with a conditional Fréchet distance accepted to WACV 2026 [cFreD]
- 07/2025. Catherine got her SynGround paper accepted at the British Machine Vision Conference (BMVC) to take place in Sheffield, UK this year.
- 06/2025. ICCV 2025: Moayed will be presenting AV-Link and Jefferson will be presenting Panel-of-Peers in Honolulu, Hawaii at ICCV this year!
- 03/2025. Zilin has our work on long-context image re-ranking, in collaboration with the Czech Technical University, accepted to CVPR 2025 [LoCoRe]
- 09/2024. Jaywon has her work on enhancing visual programming by relying on code assertions and property tests accepted to Findings of EMNLP 2024 [PropTest]
- 07/2024. ECCV 2024: Jefferson has his work on joint video-image representation learning with contrastive masked autoencoders accepted [ViC-MAE] and Zilin has his work on visual entity recognition with retrieval augmented generation and constrained decoding accepted [AutoVER].
- 05/2024. Paola successfully defended her PhD and accepted a tenure-track faculty position at Stony Brook University.
- 03/2024. CVPR 2024: Moayed has his work on arbitrary size text-to-image generation accepted [ElasticDiffusion] and Catherine has her work on visual grounding with self consistent predictions for equivalent phrases accepted [SelfEQ].
- 12/2023. Ziyan has her work on visual relationship grounding accepted to WACV 2024 [SCoRD] and successfully defended her PhD Defense!.
- 07/2023. Paola has her work on vision-and-language beyond nouns accepted to ICCV 2023, Ziyan has her work on visual grounding accepted to CVPR 2023, and Aman has CLIP-Lite accepted to AISTATS 2023.
- 08/2022. We received a Google Inclusion Research Award 2022.
- 04/2022. Paola and Letao have SimVQA accepted to CVPR 2022, and Ziyan has Backpropagation-based decoding for MMT accepted to Frontiers in AI.
- 07/2021. Two papers accepted to ICCV 2021, Reranking Transformers [arxiv] and MEDIRL [arxiv].
- 07/2021. After some wonderful five years at the University of Virginia, our group is in the process of moving to the Department of Computer Science at Rice University in Houston, Texas~!
- 06/2021. Our work on teaching machines compositional vision and language models is funded through a National Science Foundation CAREER Award
- 06/2021. Tianlu Wang defends her PhD Dissertation Measuring and Mitigating Biases in Vision and Language Models, accepts position as Research Scientist at Facebook AI Research in Menlo Park, California. Congrats Tianlu~!
- 04/2021. Fuwen Tan defends his PhD Dissertation Learning Local Representations of Images and Text, accepts position at Samsung AI Center - Cambridge. Congrats Fuwen~!
- 03/2021. Two papers accepted to CVPR 2021, Black-box Explanation of Object Detectors, and the Classification Transformer.
- 02/2021. Our group received a Salesforce AI Research Grant and an NSF-Amazon Fairness in AI Grant to support our work.
- 12/2020. Paola and Fuwen had Curriculum Labeling accepted to AAAI.
- 09/2020. Tianlu, Ziyan and Leticia got papers accepted to EMNLP and Findings of EMNLP 2020 [publications].
- 06/2020. Andrew Ng's deeplearning.ai has a blog post highlighting our ACL 2020 paper with Salesforce Research on Double-Hard Debias [link].
- 06/2020. TechXplore features our work on regulation of Face Recognition in Researchers call for new federal authority to regulate facial recognition tech.
- 05/2020. With a group of colleagues and funding from the MacArthur Foundation, we released the whitepaper Face Recognition Technologies in the Wild: A Call for a Federal Office.
- 05/2020. Our group recently received a Facebook Research Award 2020 and gift funding from eBay Research and Adobe Research.
- 04/2020. Our vislang.ai website is up and running entirely on the cloud!
- 04/2020. New papers accepted at CVPR 2020, ACL 2020, and ICSE 2020.
- 02/2020. Co-Organizing with colleagues at the Seoul National University and other places, the 2nd workshop on Video Turing Test: Toward Human-Level Video Story Understanding at ECCV 2020. Send your submissions to the DramaQA Challenge and attend our workshop!
- 07/2019. Posts from NVIDIA [link] and IBM Research [link] about Text2Scene
- 07/2019. Text2Scene gets named among 45 Best CVPR Paper Finalists among 1,294 accepted papers (top 1% of all submissions) [link]
- 05/2019. UVA Today features work by PhD student Tianlu Wang under her Presidential Fellowship Using Data Science to determine why one job candidate beats out another.
- 05/2019. Participated at the Ethics in AI Panel at Escape Velocity 2019 that took place in Washington DC's National Harbor.
- 04/2019. PhD Student Tianlu Wang gave a talk at the TomTom Applied Machine Learning Conference.
- 09/2018. Co-organizing and Participating in the panel on Dealing with Bias and Unfairness in ML at the ACM Richard Tapia Celebration of Diversity in Computing, Orlando, FL.
- 02/2018. Received a Google Faculty Research Award and an IBM Faculty Award.
- 08/2017. Our work at UVA with UCLA's NLP Group gets coverage in WIRED, Daily Mail, The Times of London, Glamour, Bloomberg, among others.
- 09/2017. We obtained a Best --Long-- Paper Award at EMNLP 2017~!
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