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20152022
most citedPixelNet: Representation of the pixels, by the pixels, and for the pixels

93 citations · 109 across the 6 of their papers we have counts for

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11 papers · 1 filter

cs.CV2022

COAP: Compositional Articulated Occupancy of People

Marko Mihajlovic, Shunsuke Saito, Aayush Bansal +2

We present a novel neural implicit representation for articulated human bodies. Compared to explicit template meshes, neural implicit body representations provide an efficient mech…

cs.CV2021

Stereo Radiance Fields (SRF): Learning View Synthesis for Sparse Views of Novel Scenes

Julian Chibane, Aayush Bansal, Verica Lazova +1

Recent neural view synthesis methods have achieved impressive quality and realism, surpassing classical pipelines which rely on multi-view reconstruction. State-of-the-Art methods,…

cs.CV20212 cited

Streaming Self-Training via Domain-Agnostic Unlabeled Images

Zhiqiu Lin, Deva Ramanan, Aayush Bansal

We present streaming self-training (SST) that aims to democratize the process of learning visual recognition models such that a non-expert user can define a new task depending on t…

cs.CV20201 cited

Improving task-specific representation via 1M unlabelled images without any extra knowledge

Aayush Bansal

We present a case-study to improve the task-specific representation by leveraging a million unlabelled images without any extra knowledge. We propose an exceedingly simple method o…

cs.CV2020

4D Visualization of Dynamic Events from Unconstrained Multi-View Videos

Aayush Bansal, Minh Vo, Yaser Sheikh +2

We present a data-driven approach for 4D space-time visualization of dynamic events from videos captured by hand-held multiple cameras. Key to our approach is the use of self-super…

cs.CV20191 cited

Shapes and Context: In-the-Wild Image Synthesis & Manipulation

Aayush Bansal, Yaser Sheikh, Deva Ramanan

We introduce a data-driven approach for interactively synthesizing in-the-wild images from semantic label maps. Our approach is dramatically different from recent work in this spac…