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09/13/2023
Video Infringement Detection via Feature Disentanglement and Mutual Information Maximization
The self-media era provides us tremendous high quality videos. Unfortuna...
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08/26/2023
Patch-Grid: An Efficient and Feature-Preserving Neural Implicit Surface Representation
Neural implicit representations are known to be more compact for depicti...
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08/22/2023
IT3D: Improved Text-to-3D Generation with Explicit View Synthesis
Recent strides in Text-to-3D techniques have been propelled by distillin...
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03/30/2023
SynBody: Synthetic Dataset with Layered Human Models for 3D Human Perception and Modeling
Synthetic data has emerged as a promising source for 3D human research a...
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08/10/2022
CreatureShop: Interactive 3D Character Modeling and Texturing from a Single Color Drawing
Creating 3D shapes from 2D drawings is an important problem with applica...
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07/07/2022
Not All Models Are Equal: Predicting Model Transferability in a Self-challenging Fisher Space
This paper addresses an important problem of ranking the pre-trained dee...
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01/26/2022
SkiM: Skipping Memory LSTM for Low-Latency Real-Time Continuous Speech Separation
Continuous speech separation for meeting pre-processing has recently bec...
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12/27/2021
SmoothNet: A Plug-and-Play Network for Refining Human Poses in Videos
When analyzing human motion videos, the output jitters from existing pos...
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07/29/2021
Geometry Uncertainty Projection Network for Monocular 3D Object Detection
Geometry Projection is a powerful depth estimation method in monocular 3...
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12/06/2020
CoEdge: Cooperative DNN Inference with Adaptive Workload Partitioning over Heterogeneous Edge Devices
Recent advances in artificial intelligence have driven increasing intell...
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09/25/2019
Prism: Scaling Bitcoin by 10,000x
Bitcoin is the first fully decentralized permissionless blockchain proto...
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01/22/2019
RPC: A Large-Scale Retail Product Checkout Dataset
Over recent years, emerging interest has occurred in integrating compute...
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10/31/2018
Enhanced Quasi-Maximum Likelihood Decoding of Short LDPC Codes based on Saturation
In this paper, we propose an enhanced quasi-maximum likelihood (EQML) de...
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11/18/2013
