Kyle Min

According to our database, Kyle Min authored at least 17 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Deep Geometric Moments Promote Shape Consistency in Text-to-3D Generation.

Utkarsh Nath, Rajeev Goel, Eun Som Jeon, Changhoon Kim, Kyle Min, Yezhou Yang, Yingzhen Yang, Pavan K. Turaga

CoRR, 2024

Ego-VPA: Egocentric Video Understanding with Parameter-efficient Adaptation.

Tz-Ying Wu, Kyle Min, Subarna Tripathi, Nuno Vasconcelos

CoRR, 2024

SViTT-Ego: A Sparse Video-Text Transformer for Egocentric Video.

Hector A. Valdez, Kyle Min, Subarna Tripathi

CoRR, 2024

Contrastive Language Video Time Pre-training.

Hengyue Liu, Kyle Min, Hector A. Valdez, Subarna Tripathi

CoRR, 2024

R.A.C.E.: Robust Adversarial Concept Erasure for Secure Text-to-Image Diffusion Model.

Changhoon Kim, Kyle Min, Yezhou Yang

CoRR, 2024

Action Scene Graphs for Long-Form Understanding of Egocentric Videos.

Ivan Rodin, Antonino Furnari, Kyle Min, Subarna Tripathi, Giovanni Maria Farinella

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

WOUAF: Weight Modulation for User Attribution and Fingerprinting in Text-to-Image Diffusion Models.

Changhoon Kim, Kyle Min, Maitreya Patel, Sheng Cheng, Yezhou Yang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

STHG: Spatial-Temporal Heterogeneous Graph Learning for Advanced Audio-Visual Diarization.

Kyle Min

CoRR, 2023

Unbiased Scene Graph Generation in Videos.

Sayak Nag, Kyle Min, Subarna Tripathi, Amit K. Roy-Chowdhury

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

SViTT: Temporal Learning of Sparse Video-Text Transformers.

Yi Li, Kyle Min, Subarna Tripathi, Nuno Vasconcelos

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Intel Labs at Ego4D Challenge 2022: A Better Baseline for Audio-Visual Diarization.

Kyle Min

CoRR, 2022

Learning Long-Term Spatial-Temporal Graphs for Active Speaker Detection.

Kyle Min, Sourya Roy, Subarna Tripathi, Tanaya Guha, Somdeb Majumdar

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Learning Spatial-Temporal Graphs for Active Speaker Detection.

Sourya Roy, Kyle Min, Subarna Tripathi, Tanaya Guha, Somdeb Majumdar

CoRR, 2021

Integrating Human Gaze into Attention for Egocentric Activity Recognition.

Kyle Min, Jason J. Corso

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

2020

Adversarial Background-Aware Loss for Weakly-Supervised Temporal Activity Localization.

Kyle Min, Jason J. Corso

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

TASED-Net: Temporally-Aggregating Spatial Encoder-Decoder Network for Video Saliency Detection.

Kyle Min, Jason J. Corso

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018

Hierarchical Novelty Detection for Visual Object Recognition.

Kibok Lee, Kimin Lee, Kyle Min, Yuting Zhang, Jinwoo Shin, Honglak Lee

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018