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09/21/2023
Spatial-Temporal Transformer based Video Compression Framework
Learned video compression (LVC) has witnessed remarkable advancements in...
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07/13/2023
Reward-Directed Conditional Diffusion: Provable Distribution Estimation and Reward Improvement
We explore the methodology and theory of reward-directed generation via ...
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06/13/2023
Unified Off-Policy Learning to Rank: a Reinforcement Learning Perspective
Off-policy Learning to Rank (LTR) aims to optimize a ranker from data co...
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05/30/2023
Adversarial Attacks on Online Learning to Rank with Stochastic Click Models
We propose the first study of adversarial attacks on online learning to ...
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04/27/2023
Exploiting Inductive Bias in Transformer for Point Cloud Classification and Segmentation
Discovering inter-point connection for efficient high-dimensional featur...
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03/24/2023
GQE-Net: A Graph-based Quality Enhancement Network for Point Cloud Color Attribute
In recent years, point clouds have become increasingly popular for repre...
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01/07/2023
Dynamic Local Feature Aggregation for Learning on Point Clouds
Existing point cloud learning methods aggregate features from neighbouri...
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11/30/2022
Progressive Knowledge Transfer Based on Human Visual Perception Mechanism for Perceptual Quality Assessment of Point Clouds
With the wide applications of colored point cloud in many fields, point ...
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06/05/2022
Bandit Theory and Thompson Sampling-Guided Directed Evolution for Sequence Optimization
Directed Evolution (DE), a landmark wet-lab method originated in 1960s, ...
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03/02/2022
PUFA-GAN: A Frequency-Aware Generative Adversarial Network for 3D Point Cloud Upsampling
We propose a generative adversarial network for point cloud upsampling, ...
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11/03/2021
Neural network is heterogeneous: Phase matters more
We find a heterogeneity in both complex and real valued neural networks ...
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06/24/2021
A Global Appearance and Local Coding Distortion based Fusion Framework for CNN based Filtering in Video Coding
In-loop filtering is used in video coding to process the reconstructed f...
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01/01/2021
Adaptive Deconvolution-based stereo matching Net for Local Stereo Matching
In deep learning-based local stereo matching methods, larger image patch...
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12/31/2020
CorrNet3D: Unsupervised End-to-end Learning of Dense Correspondence for 3D Point Clouds
This paper addresses the problem of computing dense correspondence betwe...
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11/25/2020
Reduced Reference Perceptual Quality Model and Application to Rate Control for 3D Point Cloud Compression
In rate-distortion optimization, the encoder settings are determined by ...
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07/10/2020
Learning Entangled Single-Sample Gaussians in the Subset-of-Signals Model
In the setting of entangled single-sample distributions, the goal is to ...
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04/20/2020
Learning Entangled Single-Sample Distributions via Iterative Trimming
In the setting of entangled single-sample distributions, the goal is to ...
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02/26/2020
Learning Light Field Angular Super-Resolution via a Geometry-Aware Network
The acquisition of light field images with high angular resolution is co...
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02/25/2020
Model-based Joint Bit Allocation between Geometry and Color for Video-based 3D Point Cloud Compression
Rate distortion optimization plays a very important role in image/video ...
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02/25/2020
Rate Distortion Optimized Joint Bit Allocation between Geometry and Color for Video-based 3D Point Cloud Compression
Rate distortion optimization plays a very important role in image/video ...
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12/27/2019
Non-Cooperative Game Theory Based Rate Adaptation for Dynamic Video Streaming over HTTP
Dynamic Adaptive Streaming over HTTP (DASH) has demonstrated to be an em...
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12/26/2019
An Ensemble Rate Adaptation Framework for Dynamic Adaptive Streaming Over HTTP
Rate adaptation is one of the most important issues in dynamic adaptive ...
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12/20/2019
Spatial and Temporal Consistency-Aware Dynamic Adaptive Streaming for 360-Degree Videos
The 360-degree video allows users to enjoy the whole scene by interactiv...
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12/20/2019
A Comprehensive Study and Comparison of Core Technologies for MPEG 3D Point Cloud Compression
Point cloud based 3D visual representation is becoming popular due to it...
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01/23/2019