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08/05/2023
LLM is Like a Box of Chocolates: the Non-determinism of ChatGPT in Code Generation
There has been a recent explosion of research on Large Language Models (...
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07/17/2023
Extreme Image Compression using Fine-tuned VQGAN Models
Recent advances in generative compression methods have demonstrated rema...
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03/16/2023
Multimodal Feature Extraction and Fusion for Emotional Reaction Intensity Estimation and Expression Classification in Videos with Transformers
In this paper, we present our solutions to the two sub-challenges of Aff...
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03/04/2023
Improving Audio-Visual Video Parsing with Pseudo Visual Labels
Audio-Visual Video Parsing is a task to predict the events that occur in...
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01/01/2023
EvidenceCap: Towards trustworthy medical image segmentation via evidential identity cap
Medical image segmentation (MIS) is essential for supporting disease dia...
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08/06/2022
Deep Uncalibrated Photometric Stereo via Inter-Intra Image Feature Fusion
Uncalibrated photometric stereo is proposed to estimate the detailed sur...
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04/06/2022
Semi-DRDNet Semi-supervised Detail-recovery Image Deraining Network via Unpaired Contrastive Learning
The intricacy of rainy image contents often leads cutting-edge deraining...
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03/25/2022
EmotionNAS: Two-stream Architecture Search for Speech Emotion Recognition
Speech emotion recognition (SER) is a crucial research topic in human-co...
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01/06/2022
Compact Bidirectional Transformer for Image Captioning
Most current image captioning models typically generate captions from le...
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11/29/2021
Decoupled Low-light Image Enhancement
The visual quality of photographs taken under imperfect lightness condit...
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06/17/2021
Semi-Autoregressive Transformer for Image Captioning
Current state-of-the-art image captioning models adopt autoregressive de...
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04/27/2021
A Survey on Neural Recommendation: From Collaborative Filtering to Content and Context Enriched Recommendation
Influenced by the stunning success of deep learning in computer vision a...
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08/10/2020
A Survey on Large-scale Machine Learning
Machine learning can provide deep insights into data, allowing machines ...
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04/09/2019
Graphonomy: Universal Human Parsing via Graph Transfer Learning
Prior highly-tuned human parsing models tend to fit towards each dataset...
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08/20/2016
Visual Processing by a Unified Schatten-p Norm and ℓ_q Norm Regularized Principal Component Pursuit
In this paper, we propose a non-convex formulation to recover the authen...
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05/25/2015
