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09/11/2023
CANF-VC++: Enhancing Conditional Augmented Normalizing Flows for Video Compression with Advanced Techniques
Video has become the predominant medium for information dissemination, d...
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05/18/2023
Transformer-based Variable-rate Image Compression with Region-of-interest Control
This paper proposes a transformer-based learned image compression system...
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04/05/2023
Hierarchical B-frame Video Coding Using Two-Layer CANF without Motion Coding
Typical video compression systems consist of two main modules: motion co...
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02/13/2023
Content-Adaptive Motion Rate Adaption for Learned Video Compression
This paper introduces an online motion rate adaptation scheme for learne...
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12/29/2022
Learned Hierarchical B-frame Coding with Adaptive Feature Modulation for YUV 4:2:0 Content
This paper introduces a learned hierarchical B-frame coding scheme in re...
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10/22/2022
HuPR: A Benchmark for Human Pose Estimation Using Millimeter Wave Radar
This paper introduces a novel human pose estimation benchmark, Human Pos...
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10/15/2022
Learned Video Compression for YUV 4:2:0 Content Using Flow-based Conditional Inter-frame Coding
This paper proposes a learning-based video compression framework for var...
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09/27/2022
Neural Frank-Wolfe Policy Optimization for Region-of-Interest Intra-Frame Coding with HEVC/H.265
This paper presents a reinforcement learning (RL) framework that utilize...
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09/05/2022
B-CANF: Adaptive B-frame Coding with Conditional Augmented Normalizing Flows
This work introduces a B-frame coding framework, termed B-CANF, that exp...
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07/12/2022
CANF-VC: Conditional Augmented Normalizing Flows for Video Compression
This paper presents an end-to-end learning-based video compression syste...
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03/10/2022
Action-Constrained Reinforcement Learning for Frame-Level Bit Allocation in HEVC/H.265 through Frank-Wolfe Policy Optimization
This paper presents a reinforcement learning (RL) framework that leverag...
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07/18/2021
ANFIC: Image Compression Using Augmented Normalizing Flows
This paper introduces an end-to-end learned image compression system, te...
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04/05/2021
A Dual-Critic Reinforcement Learning Framework for Frame-level Bit Allocation in HEVC/H.265
This paper introduces a dual-critic reinforcement learning (RL) framewor...
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03/31/2021
Weakly-Supervised Image Semantic Segmentation Using Graph Convolutional Networks
This work addresses weakly-supervised image semantic segmentation based ...
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03/27/2021
Video Rescaling Networks with Joint Optimization Strategies for Downscaling and Upscaling
This paper addresses the video rescaling task, which arises from the nee...
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03/16/2021
GSVNet: Guided Spatially-Varying Convolution for Fast Semantic Segmentation on Video
This paper addresses fast semantic segmentation on video.Video segmentat...
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12/15/2020
Class-incremental Learning with Rectified Feature-Graph Preservation
In this paper, we address the problem of distillation-based class-increm...
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09/10/2019
Learning Priors for Adversarial Autoencoders
Most deep latent factor models choose simple priors for simplicity, trac...
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07/24/2019
Learning Goal-Oriented Visual Dialog Agents: Imitating and Surpassing Analytic Experts
This paper tackles the problem of learning a questioner in the goal-orie...
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05/01/2019
Learned Image Compression with Soft Bit-based Rate-Distortion Optimization
This paper introduces the notion of soft bits to address the rate-distor...
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03/26/2019
All about Structure: Adapting Structural Information across Domains for Boosting Semantic Segmentation
In this paper we tackle the problem of unsupervised domain adaptation fo...
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02/20/2019