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Learning Sight from Sound: Ambient Sound Provides Supervision for Visual Learning
Andrew Owens, Jiajun Wu, Josh H. McDermott +2
The sound of crashing waves, the roar of fast-moving cars -- sound conveys important information about the objects in our surroundings. In this work, we show that ambient sounds ca…
Smart, Sparse Contours to Represent and Edit Images
Tali Dekel, Chuang Gan, Dilip Krishnan +2
We study the problem of reconstructing an image from information stored at contour locations. We show that high-quality reconstructions with high fidelity to the source image can b…
Exploiting Occlusion in Non-Line-of-Sight Active Imaging
Christos Thrampoulidis, Gal Shulkind, Feihu Xu +5
Active non-line-of-sight imaging systems are of growing interest for diverse applications. The most commonly proposed approaches to date rely on exploiting time-resolved measuremen…
Video Enhancement with Task-Oriented Flow
Tianfan Xue, Baian Chen, Jiajun Wu +2
Many video enhancement algorithms rely on optical flow to register frames in a video sequence. Precise flow estimation is however intractable; and optical flow itself is often a su…
Reconstructing Video from Interferometric Measurements of Time-Varying Sources
Katherine L. Bouman, Michael D. Johnson, Adrian V. Dalca +4
Very long baseline interferometry (VLBI) makes it possible to recover images of astronomical sources with extremely high angular resolution. Most recently, the Event Horizon Telesc…
Synthesizing Normalized Faces from Facial Identity Features
Forrester Cole, David Belanger, Dilip Krishnan +3
We present a method for synthesizing a frontal, neutral-expression image of a person's face given an input face photograph. This is achieved by learning to generate facial landmark…