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05/08/2022
Unsupervised Discovery and Composition of Object Light Fields
Neural scene representations, both continuous and discrete, have recentl...
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04/28/2022
Rotationally Equivariant 3D Object Detection
Rotation equivariance has recently become a strongly desired property in...
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12/06/2021
Letter-level Online Writer Identification
Writer identification (writer-id), an important field in biometrics, aim...
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07/16/2021
Unsupervised Discovery of Object Radiance Fields
We study the problem of inferring an object-centric scene representation...
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12/17/2020
Neural Radiance Flow for 4D View Synthesis and Video Processing
We present a method, Neural Radiance Flow (NeRFlow),to learn a 4D spatia...
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07/25/2020
OpenRooms: An End-to-End Open Framework for Photorealistic Indoor Scene Datasets
Large-scale photorealistic datasets of indoor scenes, with ground truth ...
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02/27/2020
Weakly supervised discriminative feature learning with state information for person identification
Unsupervised learning of identity-discriminative visual feature is appea...
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09/30/2019
DSRGAN: Explicitly Learning Disentangled Representation of Underlying Structure and Rendering for Image Generation without Tuple Supervision
We focus on explicitly learning disentangled representation for natural ...
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03/15/2019
Unsupervised Person Re-identification by Soft Multilabel Learning
Although unsupervised person re-identification (RE-ID) has drawn increas...
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01/29/2019
Unsupervised Person Re-identification by Deep Asymmetric Metric Embedding
Person re-identification (Re-ID) aims to match identities across non-ove...
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07/04/2018
MIXGAN: Learning Concepts from Different Domains for Mixture Generation
In this work, we present an interesting attempt on mixture generation: a...
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12/05/2017
Learning a Semantically Discriminative Joint Space for Attribute Based Person Re-identification
Attribute based person re-identification (Re-ID) aims to search persons ...
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08/27/2017
