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09/12/2023
Transferability analysis of data-driven additive manufacturing knowledge: a case study between powder bed fusion and directed energy deposition
Data-driven research in Additive Manufacturing (AM) has gained significa...
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09/12/2023
How does representation impact in-context learning: A exploration on a synthetic task
In-context learning, i.e., learning from in-context samples, is an impre...
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08/22/2023
Efficient View Synthesis with Neural Radiance Distribution Field
Recent work on Neural Radiance Fields (NeRF) has demonstrated significan...
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08/18/2023
StableVideo: Text-driven Consistency-aware Diffusion Video Editing
Diffusion-based methods can generate realistic images and videos, but th...
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07/31/2023
MovieChat: From Dense Token to Sparse Memory for Long Video Understanding
Recently, integrating video foundation models and large language models ...
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07/26/2023
Adaptive Frequency Filters As Efficient Global Token Mixers
Recent vision transformers, large-kernel CNNs and MLPs have attained rem...
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06/19/2023
MotionGPT: Finetuned LLMs are General-Purpose Motion Generators
Generating realistic human motion from given action descriptions has exp...
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06/16/2023
EVOPOSE: A Recursive Transformer For 3D Human Pose Estimation With Kinematic Structure Priors
Transformer is popular in recent 3D human pose estimation, which utilize...
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06/02/2023
Responsible Task Automation: Empowering Large Language Models as Responsible Task Automators
The recent success of Large Language Models (LLMs) signifies an impressi...
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05/29/2023
Vector-based Representation is the Key: A Study on Disentanglement and Compositional Generalization
Recognizing elementary underlying concepts from observations (disentangl...
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05/29/2023
ReSup: Reliable Label Noise Suppression for Facial Expression Recognition
Because of the ambiguous and subjective property of the facial expressio...
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05/26/2023
ABC-KD: Attention-Based-Compression Knowledge Distillation for Deep Learning-Based Noise Suppression
Noise suppression (NS) models have been widely applied to enhance speech...
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05/10/2023
Clothes-Invariant Feature Learning by Causal Intervention for Clothes-Changing Person Re-identification
Clothes-invariant feature extraction is critical to the clothes-changing...
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04/25/2023
Learning Trajectories are Generalization Indicators
The aim of this paper is to investigate the connection between learning ...
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04/20/2023
High-Fidelity and Freely Controllable Talking Head Video Generation
Talking head generation is to generate video based on a given source ide...
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04/11/2023
MRVM-NeRF: Mask-Based Pretraining for Neural Radiance Fields
Most Neural Radiance Fields (NeRFs) have poor generalization ability, li...
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03/10/2023
Structural Multiplane Image: Bridging Neural View Synthesis and 3D Reconstruction
The Multiplane Image (MPI), containing a set of fronto-parallel RGBA lay...
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03/09/2023
Unifying Layout Generation with a Decoupled Diffusion Model
Layout generation aims to synthesize realistic graphic scenes consisting...
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02/28/2023
Neural Video Compression with Diverse Contexts
For any video codecs, the coding efficiency highly relies on whether the...
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02/26/2023
Contrast-PLC: Contrastive Learning for Packet Loss Concealment
Packet loss concealment (PLC) is challenging in concealing missing conte...
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02/21/2023
DasFormer: Deep Alternating Spectrogram Transformer for Multi/Single-Channel Speech Separation
For the task of speech separation, previous study usually treats multi-c...
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02/20/2023
Improving Speech Enhancement via Event-based Query
Existing deep learning based speech enhancement (SE) methods either use ...
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02/10/2023
EVC: Towards Real-Time Neural Image Compression with Mask Decay
Neural image compression has surpassed state-of-the-art traditional code...
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01/21/2023
Versatile Neural Processes for Learning Implicit Neural Representations
Representing a signal as a continuous function parameterized by neural n...
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10/09/2022
Estimating Neural Reflectance Field from Radiance Field using Tree Structures
We present a new method for estimating the Neural Reflectance Field (NRe...
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09/30/2022
Alignment-guided Temporal Attention for Video Action Recognition
Temporal modeling is crucial for various video learning tasks. Most rece...
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08/01/2022
Counterfactual Intervention Feature Transfer for Visible-Infrared Person Re-identification
Graph-based models have achieved great success in person re-identificati...
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07/14/2022
Neighbor Correspondence Matching for Flow-based Video Frame Synthesis
Video frame synthesis, which consists of interpolation and extrapolation...
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07/13/2022
Hybrid Spatial-Temporal Entropy Modelling for Neural Video Compression
For neural video codec, it is critical, yet challenging, to design an ef...
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07/04/2022
Multi-Modal Multi-Correlation Learning for Audio-Visual Speech Separation
In this paper we propose a multi-modal multi-correlation learning framew...
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07/03/2022
Towards Error-Resilient Neural Speech Coding
Neural audio coding has shown very promising results recently in the lit...
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07/02/2022
Towards Robust Video Object Segmentation with Adaptive Object Calibration
In the booming video era, video segmentation attracts increasing researc...
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06/29/2022
Turbo: Opportunistic Enhancement for Edge Video Analytics
Edge computing is being widely used for video analytics. To alleviate th...
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05/20/2022
Test-time Batch Normalization
Deep neural networks often suffer the data distribution shift between tr...
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05/20/2022
Visual Concepts Tokenization
Obtaining the human-like perception ability of abstracting visual concep...
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03/29/2022
Self-Supervised Image Representation Learning with Geometric Set Consistency
We propose a method for self-supervised image representation learning un...
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03/23/2022
Deep Frequency Filtering for Domain Generalization
Improving the generalization capability of Deep Neural Networks (DNNs) i...
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03/17/2022
Neural Compression-Based Feature Learning for Video Restoration
How to efficiently utilize the temporal features is crucial, yet challen...
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03/17/2022
Semantic-aligned Fusion Transformer for One-shot Object Detection
One-shot object detection aims at detecting novel objects according to m...
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03/14/2022
Rethinking Minimal Sufficient Representation in Contrastive Learning
Contrastive learning between different views of the data achieves outsta...
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03/11/2022
ActiveMLP: An MLP-like Architecture with Active Token Mixer
This paper presents ActiveMLP, a general MLP-like backbone for computer ...
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02/16/2022
Robust Nonparametric Distribution Forecast with Backtest-based Bootstrap and Adaptive Residual Selection
Distribution forecast can quantify forecast uncertainty and provide vari...
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01/28/2022
Mask-based Latent Reconstruction for Reinforcement Learning
For deep reinforcement learning (RL) from pixels, learning effective sta...
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12/06/2021
Reliable Propagation-Correction Modulation for Video Object Segmentation
Error propagation is a general but crucial problem in online semi-superv...
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11/27/2021
Temporal Context Mining for Learned Video Compression
We address end-to-end learned video compression with a special focus on ...
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09/30/2021
Deep Contextual Video Compression
Most of the existing neural video compression methods adopt the predicti...
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08/19/2021
Self-Supervised Video Representation Learning with Meta-Contrastive Network
Self-supervised learning has been successfully applied to pre-train vide...
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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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05/27/2021
SSAN: Separable Self-Attention Network for Video Representation Learning
Self-attention has been successfully applied to video representation lea...
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04/18/2021