Kyle Min - RankMe

39 papers A* 6A 3Journal 24Unranked 6

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	DecompDreamer: Advancing Structured 3D Asset Generation with Multi-Object Decomposition and Gaussian Splatting. CoRR Utkarsh Nath, Rajeev Goel, Rahul Khurana, Kyle Min, Mark Ollila, Pavan K. Turaga, Varun Jampani, Tejaswi Gowda
2025	A	`conf`	Deep Geometric Moments Promote Shape Consistency in Text-to-3D Generation. WACV Utkarsh Nath, Rajeev Goel, Eun Som Jeon, Changhoon Kim, Kyle Min, Yezhou Yang, Yingzhen Yang, Pavan K. Turaga
2025	—	`conf`	EASG-Bench: Video Q&A Benchmark with Egocentric Action Scene Graphs. ICCVW Ivan Rodin, Tz-Ying Wu, Kyle Min, Sharath Nittur Sridhar, Antonino Furnari, Subarna Tripathi, Giovanni Maria Farinella
2025	J	`jnl`	EASG-Bench: Video Q&A Benchmark with Egocentric Action Scene Graphs. CoRR Ivan Rodin, Tz-Ying Wu, Kyle Min, Sharath Nittur Sridhar, Antonino Furnari, Subarna Tripathi, Giovanni Maria Farinella
2025	J	`jnl`	ESSENTIAL: Episodic and Semantic Memory Integration for Video Class-Incremental Learning. CoRR Jongseo Lee, Kyungho Bae, Kyle Min, Gyeong-Moon Park, Jinwoo Choi
2025	A	`conf`	Ego-VPA: Egocentric Video Understanding with Parameter-Efficient Adaptation. WACV Tz-Ying Wu, Kyle Min, Subarna Tripathi, Nuno Vasconcelos
2025	J	`jnl`	EraseFlow: Learning Concept Erasure Policies via GFlowNet-Driven Alignment. CoRR Abhiram Kusumba, Maitreya Patel, Kyle Min, Changhoon Kim, Chitta Baral, Yezhou Yang
2025	J	`jnl`	FLAIR: Frequency- and Locality-Aware Implicit Neural Representations. CoRR Sukhun Ko, Dahyeon Kye, Kyle Min, Chanho Eom, Jihyong Oh
2025	J	`jnl`	Keystep Recognition using Graph Neural Networks. CoRR Julia Lee Romero, Kyle Min, Subarna Tripathi, Morteza Karimzadeh
2025	—	`conf`	Long-Form Reasoning for Keystep Recognition Using Graph Neural Networks. ICCVW Julia Lee Romero, Kyle Min, Subarna Tripathi, Morteza Karimzadeh
2025	—	`conf`	Reinforcement Learning Meets Masked Video Modeling : Trajectory-Guided Adaptive Token Selection. ICCVW Ayush K. Rai, Kyle Min, Tarun Krishna, Feiyan Hu, Alan F. Smeaton, Noel E. O'Connor
2025	J	`jnl`	Reinforcement Learning meets Masked Video Modeling : Trajectory-Guided Adaptive Token Selection. CoRR Ayush K. Rai, Kyle Min, Tarun Krishna, Feiyan Hu, Alan F. Smeaton, Noel E. O'Connor
2024	A*	`conf`	Action Scene Graphs for Long-Form Understanding of Egocentric Videos. CVPR Ivan Rodin, Antonino Furnari, Kyle Min, Subarna Tripathi, Giovanni Maria Farinella
2024	J	`jnl`	Contrastive Language Video Time Pre-training. CoRR Hengyue Liu, Kyle Min, Hector A. Valdez, Subarna Tripathi
2024	J	`jnl`	Deep Geometric Moments Promote Shape Consistency in Text-to-3D Generation. CoRR Utkarsh Nath, Rajeev Goel, Eun Som Jeon, Changhoon Kim, Kyle Min, Yezhou Yang, Yingzhen Yang, Pavan K. Turaga
2024	J	`jnl`	Ego-VPA: Egocentric Video Understanding with Parameter-efficient Adaptation. CoRR Tz-Ying Wu, Kyle Min, Subarna Tripathi, Nuno Vasconcelos
2024	—	`conf`	R.A.C.E. : Robust Adversarial Concept Erasure for Secure Text-to-Image Diffusion Model. ECCV (83) Changhoon Kim, Kyle Min, Yezhou Yang
2024	J	`jnl`	R.A.C.E.: Robust Adversarial Concept Erasure for Secure Text-to-Image Diffusion Model. CoRR Changhoon Kim, Kyle Min, Yezhou Yang
2024	J	`jnl`	SViTT-Ego: A Sparse Video-Text Transformer for Egocentric Video. CoRR Hector A. Valdez, Kyle Min, Subarna Tripathi
2024	A*	`conf`	WOUAF: Weight Modulation for User Attribution and Fingerprinting in Text-to-Image Diffusion Models. CVPR Changhoon Kim, Kyle Min, Maitreya Patel, Sheng Cheng, Yezhou Yang
2023	J	`jnl`	Action Scene Graphs for Long-Form Understanding of Egocentric Videos. CoRR Ivan Rodin, Antonino Furnari, Kyle Min, Subarna Tripathi, Giovanni Maria Farinella
2023	J	`jnl`	STHG: Spatial-Temporal Heterogeneous Graph Learning for Advanced Audio-Visual Diarization. CoRR Kyle Min
2023	A*	`conf`	SViTT: Temporal Learning of Sparse Video-Text Transformers. CVPR Yi Li, Kyle Min, Subarna Tripathi, Nuno Vasconcelos
2023	J	`jnl`	SViTT: Temporal Learning of Sparse Video-Text Transformers. CoRR Yi Li, Kyle Min, Subarna Tripathi, Nuno Vasconcelos
2023	A*	`conf`	Unbiased Scene Graph Generation in Videos. CVPR Sayak Nag, Kyle Min, Subarna Tripathi, Amit K. Roy-Chowdhury
2023	J	`jnl`	Unbiased Scene Graph Generation in Videos. CoRR Sayak Nag, Kyle Min, Subarna Tripathi, Amit K. Roy-Chowdhury
2023	J	`jnl`	WOUAF: Weight Modulation for User Attribution and Fingerprinting in Text-to-Image Diffusion Models. CoRR Changhoon Kim, Kyle Min, Maitreya Patel, Sheng Cheng, Yezhou Yang
2022	J	`jnl`	Intel Labs at Ego4D Challenge 2022: A Better Baseline for Audio-Visual Diarization. CoRR Kyle Min
2022	—	`conf`	Learning Long-Term Spatial-Temporal Graphs for Active Speaker Detection. ECCV (35) Kyle Min, Sourya Roy, Subarna Tripathi, Tanaya Guha, Somdeb Majumdar
2022	J	`jnl`	Learning Long-Term Spatial-Temporal Graphs for Active Speaker Detection. CoRR Kyle Min, Sourya Roy, Subarna Tripathi, Tanaya Guha, Somdeb Majumdar
2021	A	`conf`	Integrating Human Gaze into Attention for Egocentric Activity Recognition. WACV Kyle Min, Jason J. Corso
2021	J	`jnl`	Learning Spatial-Temporal Graphs for Active Speaker Detection. CoRR Sourya Roy, Kyle Min, Subarna Tripathi, Tanaya Guha, Somdeb Majumdar
2020	—	`conf`	Adversarial Background-Aware Loss for Weakly-Supervised Temporal Activity Localization. ECCV (14) Kyle Min, Jason J. Corso
2020	J	`jnl`	Adversarial Background-Aware Loss for Weakly-supervised Temporal Activity Localization. CoRR Kyle Min, Jason J. Corso
2020	J	`jnl`	Integrating Human Gaze into Attention for Egocentric Activity Recognition. CoRR Kyle Min, Jason J. Corso
2019	A*	`conf`	TASED-Net: Temporally-Aggregating Spatial Encoder-Decoder Network for Video Saliency Detection. ICCV Kyle Min, Jason J. Corso
2019	J	`jnl`	TASED-Net: Temporally-Aggregating Spatial Encoder-Decoder Network for Video Saliency Detection. CoRR Kyle Min, Jason J. Corso
2018	A*	`conf`	Hierarchical Novelty Detection for Visual Object Recognition. CVPR Kibok Lee, Kimin Lee, Kyle Min, Yuting Zhang, Jinwoo Shin, Honglak Lee
2018	J	`jnl`	Hierarchical Novelty Detection for Visual Object Recognition. CoRR Kibok Lee, Kimin Lee, Kyle Min, Yuting Zhang, Jinwoo Shin, Honglak Lee