[C15] EraseFlow: Learning Concept Erasure Policies via GFlowNet-Driven Alignment
Conference on Neural Information Processing Systems (NeurIPS), 2025.  🏅Spotlight
Abhiram Kusumba*, Maitreya Patel*, Kyle Min, Changhoon Kim, Chitta Baral, Yezhou Yang
[ paper | code ]

[C14] Enhancing Compositional Reasoning in CLIP via Reconstruction and Alignment of Text Descriptions
Conference on Neural Information Processing Systems (NeurIPS), 2025.
Jihoon Kwon, Kyle Min, Jy-yong Sohn
[ paper | code ]

[W9] Data Scaling Isn't Enough: Towards Improving Compositional Reasoning in Video-Language Models
Conference on Neural Information Processing Systems Workshop on EffitientReasoning (NeurIPSW), 2025.
Kibum Kim, Kyle Min, Chanyoung Park
[ paper | code ]

[C13] ESSENTIAL: Episodic and Semantic Memory Integration for Video Class-Incremental Learning
IEEE International Conference on Computer Vision (ICCV), 2025.  🏅Highlight
Jongseo Lee*, Kyungho Bae*, Kyle Min, Gyeong-Moon Park, Jinwoo Choi  (*:  equal contribution)
[ paper | code | project page ]

[W8] Edit2Motion: Towards Training-Free Interactive Object-Level Motion Guidance for Image-to-Video Generation
IEEE International Conference on Computer Vision Workshop on HiGen (ICCVW), 2025.
Sainan Liu, Hector A Valdez, Tz-Ying Wu, Sameer Sheorey, Kyle Min, Diana Wofk, Benjamin Ummenhofer, Michael Paulitsch, Subarna Tripathi
[ paper | code ]

[W7] Reinforcement Learning meets Masked Video Modeling: Trajectory-Guided Adaptive Token Selection
IEEE International Conference on Computer Vision Workshop on LongVidFoundations (ICCVW), 2025.
Ayush Rai*, Kyle Min*, Tarun Krishna, Feiyan Hu, Alan F. Smeaton, Noel O'Connor  (*:  equal contribution)
[ paper | code ]

[W6] EASG-Bench: Video Q&A Benchmark with Egocentric Action Scene Graphs
IEEE International Conference on Computer Vision Workshop on SAUAFG (ICCVW), 2025.
Ivan Rodin, Tz-Ying Wu, Kyle Min, Sharath Nittur Sridhar, Antonino Furnari, Subarna Tripathi, Giovanni Maria Farinella
[ paper | code ]

[C12] Ego-VPA: Egocentric Video Understanding with Parameter-efficient Adaptation
IEEE Winter Conference on Applications of Computer Vision (WACV), 2025.
Tz-Ying Wu, Kyle Min, Subarna Tripathi, Nuno Vasconcelos
[ paper | code ]

[C11] Deep Geometric Moments Promote Shape Consistency in Text-to-3D Generation
IEEE Winter Conference on Applications of Computer Vision (WACV), 2025.
Utkarsh Nath, Rajeev Goel, Eun Som Jeon, Changhoon Kim, Kyle Min, Yezhou Yang, Yingzhen Yang, Pavan Turaga
[ paper | code | poster | project page ]

[C10] R.A.C.E.: Robust Adversarial Concept Erasure for Secure Text-to-Image Diffusion Model
European Conference on Computer Vision (ECCV), 2024.  🏅Oral Presentation
Changhoon Kim*, Kyle Min*, Yezhou Yang  (*:  equal contribution)
[ paper | code | poster | presentation ]

[C8] Action Scene Graphs for Long-Form Understanding of Egocentric Videos
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024.
Ivan Rodin*, Antonino Furnari*, Kyle Min*, Subarna Tripathi, Giovanni Maria Farinella  (*:  equal contribution)
[ paper | code | poster ]

[C7] SViTT: Temporal Learning of Sparse Video-Text Transformers
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023.
Yi Li, Kyle Min, Subarna Tripathi, Nuno Vasconcelos
[ paper | code ]

[C6] Unbiased Scene Graph Generation in Videos
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023.
Sayak Nag, Kyle Min, Subarna Tripathi, Amit K Roy-Chowdhury
[ paper | code ]

[W3] STHG: Spatial-Temporal Heterogeneous Graph Learning for Advanced Audio-Visual Diarization
IEEE Conference on Computer Vision and Pattern Recognition Workshop on Ego4D (CVPRW), 2023.  🏅Spotlight
Kyle Min
[ tech report | code ]

[C5] Learning Long-Term Spatial-Temporal Graphs for Active Speaker Detection
European Conference on Computer Vision (ECCV), 2022.
Kyle Min*, Sourya Roy*, Subarna Tripathi, Tanaya Guha, Somdeb Majumdar  (*:  equal contribution)
[ paper | code | poster | presentation ]

[W2] Intel Labs at Ego4D Challenge 2022: A Better Baseline for Audio-Visual Diarization
European Conference on Computer Vision Workshop on Ego4D (ECCVW), 2022.
Kyle Min
[ tech report | code ]

[W1] Intel Labs at ActivityNet Challenge 2022: SPELL for Long-Term Active Speaker Detection
IEEE Conference on Computer Vision and Pattern Recognition Workshop on Ego4D (CVPRW), 2022.
Kyle Min, Sourya Roy, Subarna Tripathi, Tanaya Guha, Somdeb Majumdar
[ tech report | presentation ]

[C4] Integrating Human Gaze into Attention for Egocentric Activity Recognition
IEEE Winter Conference on Applications of Computer Vision (WACV), 2021.
Kyle Min, Jason J. Corso
[ paper | code | presentation ]

[C3] Adversarial Background-Aware Loss for Weakly-supervised Temporal Activity Localization
European Conference on Computer Vision (ECCV), 2020.
Kyle Min, Jason J. Corso
[ paper | code | poster | presentation ]

[C2] TASED-Net: Temporally-Aggregating Spatial Encoder-Decoder Network for Video Saliency Detection
IEEE International Conference on Computer Vision (ICCV), 2019.
Kyle Min, Jason J. Corso
[ paper | code ]

[C1] Hierarchical Novelty Detection for Visual Object Recognition
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018.
Kibok Lee, Kimin Lee, Kyle Min, Yuting Zhang, Jinwoo Shin, and Honglak Lee
[ paper | code ]