103 citations · 144 across the 9 of their papers we have counts for
4 papers · 1 filter
Can Language Models Learn to Listen?
Evonne Ng, Sanjay Subramanian, Dan Klein +3
We present a framework for generating appropriate facial responses from a listener in dyadic social interactions based on the speaker's words. Given an input transcription of the s…
Fast Image-based Neural Relighting with Translucency-Reflection Modeling
Shizhan Zhu, Shunsuke Saito, Aljaz Bozic +3
Image-based lighting (IBL) is a widely used technique that renders objects using a high dynamic range image or environment map. However, aggregating the irradiance at the object's…
TOAST: Transfer Learning via Attention Steering
Baifeng Shi, Siyu Gai, Trevor Darrell +1
Transfer learning involves adapting a pre-trained model to novel downstream tasks. However, we observe that current transfer learning methods often fail to focus on task-relevant f…
Attentive Explanations: Justifying Decisions and Pointing to the Evidence (Extended Abstract)
Dong Huk Park, Lisa Anne Hendricks, Zeynep Akata +4
Deep models are the defacto standard in visual decision problems due to their impressive performance on a wide array of visual tasks. On the other hand, their opaqueness has led to…