8 citations · 8 across the 2 of their papers we have counts for
3 papers
cs.CV2025
From Image to Video: An Empirical Study of Diffusion Representations
Pedro Vélez, Luisa F. Polanía, Yi Yang +4
Diffusion models have revolutionized generative modeling, enabling unprecedented realism in image and video synthesis. This success has sparked interest in leveraging their represe…
cs.CV2024
Scaling 4D Representations
João Carreira, Dilara Gokay, Michael King +32
Scaling has not yet been convincingly demonstrated for pure self-supervised learning from video. However, prior work has focused evaluations on semantic-related tasks $\unicode{x20…
cs.CV2020★ 8 cited
Audio-video Emotion Recognition in the Wild using Deep Hybrid Networks
Xin Guo, Luisa F. Polanía, Kenneth E. Barner
This paper presents an audiovisual-based emotion recognition hybrid network. While most of the previous work focuses either on using deep models or hand-engineered features extract…