Kyle Min

Affiliations:
  • Intel Labs, Santa Clara, CA, USA
  • University of Michigan, Ann Arbor, MI, USA (Ph.D.)


According to our database1, Kyle Min authored at least 12 papers between 2018 and 2023.

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Timeline

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Bibliography

2023
Action Scene Graphs for Long-Form Understanding of Egocentric Videos.
CoRR, 2023

STHG: Spatial-Temporal Heterogeneous Graph Learning for Advanced Audio-Visual Diarization.
CoRR, 2023

WOUAF: Weight Modulation for User Attribution and Fingerprinting in Text-to-Image Diffusion Models.
CoRR, 2023

Unbiased Scene Graph Generation in Videos.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

SViTT: Temporal Learning of Sparse Video-Text Transformers.
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.
CoRR, 2022

Learning Long-Term Spatial-Temporal Graphs for Active Speaker Detection.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
Learning Spatial-Temporal Graphs for Active Speaker Detection.
CoRR, 2021

Integrating Human Gaze into Attention for Egocentric Activity Recognition.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

2020
Adversarial Background-Aware Loss for Weakly-Supervised Temporal Activity Localization.
Proceedings of the Computer Vision - ECCV 2020, 2020

2019
TASED-Net: Temporally-Aggregating Spatial Encoder-Decoder Network for Video Saliency Detection.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018
Hierarchical Novelty Detection for Visual Object Recognition.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018


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