Assistant Professors Ismini Lourentzou and Yaoyao Liu, along with students from their labs, will present their research at the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), held in Denver, Colorado, from June 3–7. CVPR is the flagship annual meeting of IEEE/CVF and PAMI-TC, where researchers present their latest advances in computer vision, pattern recognition, machine learning, robotics, and artificial intelligence, both in theory and practice.
Liu received the CVPR 2026 Outstanding Area Chair award.
Workshops:
Wednesday, June 3
- Liu will speak during the workshop “Video World Models on Interaction, Memory, and Efficiency.”
- Lourentzou and Liu will speak during the workshop “AI-Assisted Long Video Creation.”
Thursday, June 4
- Lourentzou will give invited talks during the workshops “Unified Robotic Vision with Cross-Modal Sensing and Alignment” and “New Trends in Image Restoration and Enhancement.”
- Liu will give an invited talk during the workshop “Video Generative Models: Benchmarks and Evaluation.”
- Lourentzou co-organized the workshops “P13N: Personalization in Generative AI Workshop” and “Computer Vision for Children.”
- Liu will speak during the workshop “LOng-form VidEo Understanding, Generation and Action.”
- PhD student Wei Cao will present a paper coauthored with Liu, “FreeOrbit4D: Training-Free Arbitrary Camera Redirection for Monocular Videos via Foreground-Complete 4D Reconstruction,” at the workshops “4D Vision Workshop Modeling the Dynamic World” and “Generative Models for Computer Vision.” *Best Paper Award
On June 5–7, the following research posters will be on presented:
- “PHANTOM: Physics-Infused Video Generation via Joint Modeling of Visual and Latent Physical Dynamics,” Ying Shen, Jerry Xiong, Tianjiao Yu, Ismini Lourentzou
- “Part-Aware Modeling of Articulated Objects using 3D Gaussian Splatting,” Tianjiao Yu, Vedant Shah, Muntasir Wahed, Ying Shen, Kiet A. Nguyen, Ismini Lourentzou
- “RewardFlow: Generate Images by Optimizing What You Reward,” PhD student Onkar Susladkar, Dong-Hwan Jang, Tushar Prakash, Adheesh Juvekar, Vedant Shah, Ayush Barik, Nabeel Bashir, Muntasir Wahed, Ritish Shrirao, Ismini Lourentzou
- “PALM: Progress-Aware Policy Learning via Affordance Reasoning for Long-Horizon Robotic Manipulation,” Yuanzhe Liu, Jingyuan Zhu, Yuchen Mo, Gen Li, Xu Cao, Jin Jin, Yifan Shen, Zhengyuan Li, Tianjiao Yu, Wenzhen Yuan, Fangqiang Ding, Ismini Lourentzou
- “Counterfactual Segmentation Reasoning: Diagnosing and Mitigating Pixel-Grounding Hallucination” (Findings Track), Xinzhuo Li, Adheesh Juvekar, Jiaxun Zhang, Xingyou Liu, Muntasir Wahed, Kiet A. Nguyen, Yifan Shen, Tianjiao Yu, Ismini Lourentzou
- “PyraTok: Language-Aligned Pyramidal Tokenizer for Video Understanding and Generation,” PhD student Onkar Susladkar, Tushar Prakash, Adheesh Juvekar, Kiet A. Nguyen, Dong-Hwan Jang, Inderjit S Dhillon, Ismini Lourentzou
- “3D-VCD: Hallucination Mitigation in 3D-LLM Embodied Agents through Visual Contrastive Decoding,” Makanjuola Adekunmi Ogunleye, Eman Abdelrahman, Ismini Lourentzou