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09/13/2023
DEFormer: DCT-driven Enhancement Transformer for Low-light Image and Dark Vision
The goal of low-light image enhancement is to restore the color and deta...
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08/23/2023
PREFER: Prompt Ensemble Learning via Feedback-Reflect-Refine
As an effective tool for eliciting the power of Large Language Models (L...
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05/21/2023
Bi-ViT: Pushing the Limit of Vision Transformer Quantization
Vision transformers (ViTs) quantization offers a promising prospect to f...
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05/02/2023
Long-Term Rhythmic Video Soundtracker
We consider the problem of generating musical soundtracks in sync with r...
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04/17/2023
Enhancing Personalized Ranking With Differentiable Group AUC Optimization
AUC is a common metric for evaluating the performance of a classifier. H...
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03/18/2023
Mutilmodal Feature Extraction and Attention-based Fusion for Emotion Estimation in Videos
The continuous improvement of human-computer interaction technology make...
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03/10/2023
Aleth-NeRF: Low-light Condition View Synthesis with Concealing Fields
Common capture low-light scenes are challenging for most computer vision...
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08/05/2022
Hybrid Multimodal Feature Extraction, Mining and Fusion for Sentiment Analysis
In this paper, we present our solutions for the Multimodal Sentiment Ana...
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07/20/2022
Animation from Blur: Multi-modal Blur Decomposition with Motion Guidance
We study the challenging problem of recovering detailed motion from a si...
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06/09/2022
Extreme Masking for Learning Instance and Distributed Visual Representations
The paper presents a scalable approach for learning distributed represen...
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04/19/2022
Unsupervised Learning of Efficient Geometry-Aware Neural Articulated Representations
We propose an unsupervised method for 3D geometry-aware representation l...
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03/12/2022
Bringing Rolling Shutter Images Alive with Dual Reversed Distortion
Rolling shutter (RS) distortion can be interpreted as the result of pick...
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03/08/2022
A Simple Multi-Modality Transfer Learning Baseline for Sign Language Translation
This paper proposes a simple transfer learning baseline for sign languag...
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12/17/2021
Cross-Model Pseudo-Labeling for Semi-Supervised Action Recognition
Semi-supervised action recognition is a challenging but important task d...
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11/22/2021
Towards Tokenized Human Dynamics Representation
For human action understanding, a popular research direction is to analy...
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09/09/2021
ACP++: Action Co-occurrence Priors for Human-Object Interaction Detection
A common problem in the task of human-object interaction (HOI) detection...
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08/27/2021
4-bit Quantization of LSTM-based Speech Recognition Models
We investigate the impact of aggressive low-precision representations of...
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08/16/2021
Learning Skeletal Graph Neural Networks for Hard 3D Pose Estimation
Various deep learning techniques have been proposed to solve the single-...
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05/20/2021
Data-driven discovery of interpretable causal relations for deep learning material laws with uncertainty propagation
This paper presents a computational framework that generates ensemble pr...
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04/21/2021
ScaleCom: Scalable Sparsified Gradient Compression for Communication-Efficient Distributed Training
Large-scale distributed training of Deep Neural Networks (DNNs) on state...
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04/07/2021
Neural Articulated Radiance Field
We present Neural Articulated Radiance Field (NARF), a novel deformable ...
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07/18/2020
SRNet: Improving Generalization in 3D Human Pose Estimation with a Split-and-Recombine Approach
Human poses that are rare or unseen in a training set are challenging fo...
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07/17/2020
Detecting Human-Object Interactions with Action Co-occurrence Priors
A common problem in human-object interaction (HOI) detection task is tha...
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07/06/2020
Point-Set Anchors for Object Detection, Instance Segmentation and Pose Estimation
A recent approach for object detection and human pose estimation is to r...
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12/07/2019
BoPF: Mitigating the Burstiness-Fairness Tradeoff in Multi-Resource Clusters
Simultaneously supporting latency- and throughout-sensitive workloads in...
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11/06/2019
SRINet: Learning Strictly Rotation-Invariant Representations for Point Cloud Classification and Segmentation
Point cloud analysis has drawn broader attentions due to its increasing ...
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04/17/2019
Downhole Track Detection via Multiscale Conditional Generative Adversarial Nets
Frequent mine disasters cause a large number of casualties and property ...
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04/17/2019
Reinforcement Learning Based Emotional Editing Constraint Conversation Generation
In recent years, the generation of conversation content based on deep ne...
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11/17/2018
Explicit Pose Deformation Learning for Tracking Human Poses
We present a method for human pose tracking that learns explicitly about...
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09/17/2018
An Integral Pose Regression System for the ECCV2018 PoseTrack Challenge
For the ECCV 2018 PoseTrack Challenge, we present a 3D human pose estima...
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06/19/2018
Emotional Conversation Generation Orientated Syntactically Constrained Bidirectional-asynchronous Framework
The field of open-domain conversation generation using deep neural netwo...
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11/22/2017
Integral Human Pose Regression
State-of-the-art human pose estimation methods are dominated by complex ...
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04/08/2017
Towards 3D Human Pose Estimation in the Wild: a Weakly-supervised Approach
In this paper, we study the task of 3D human pose estimation in the wild...
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04/01/2017
Compositional Human Pose Regression
Regression based methods are not performing as well as detection based m...
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09/17/2016