1.6k citations · 4.9k across the 61 of their papers we have counts for
4 papers · 2 filters
Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling
Jiajun Wu, Chengkai Zhang, Tianfan Xue +2
We study the problem of 3D object generation. We propose a novel framework, namely 3D Generative Adversarial Network (3D-GAN), which generates 3D objects from a probabilistic space…
Best-Buddies Similarity - Robust Template Matching using Mutual Nearest Neighbors
Shaul Oron, Tali Dekel, Tianfan Xue +2
We propose a novel method for template matching in unconstrained environments. Its essence is the Best-Buddies Similarity (BBS), a useful, robust, and parameter-free similarity mea…
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…
Single Image 3D Interpreter Network
Jiajun Wu, Tianfan Xue, Joseph J. Lim +4
Understanding 3D object structure from a single image is an important but difficult task in computer vision, mostly due to the lack of 3D object annotations in real images. Previou…