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08/01/2023
Ada-DQA: Adaptive Diverse Quality-aware Feature Acquisition for Video Quality Assessment
Video quality assessment (VQA) has attracted growing attention in recent...
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07/07/2023
Language-free Compositional Action Generation via Decoupling Refinement
Composing simple elements into complex concepts is crucial yet challengi...
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05/30/2023
Towards Accurate Data-free Quantization for Diffusion Models
In this paper, we propose an accurate data-free post-training quantizati...
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05/02/2023
Self-similarity-based super-resolution of photoacoustic angiography from hand-drawn doodles
Deep-learning-based super-resolution photoacoustic angiography (PAA) is ...
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03/23/2023
Efficient Meshy Neural Fields for Animatable Human Avatars
Efficiently digitizing high-fidelity animatable human avatars from video...
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03/11/2023
Semantics-Aware Dynamic Localization and Refinement for Referring Image Segmentation
Referring image segmentation segments an image from a language expressio...
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12/09/2022
FLAG3D: A 3D Fitness Activity Dataset with Language Instruction
With the continuously thriving popularity around the world, fitness acti...
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07/28/2022
HorNet: Efficient High-Order Spatial Interactions with Recursive Gated Convolutions
Recent progress in vision Transformers exhibits great success in various...
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07/17/2022
Learning from Temporal Spatial Cubism for Cross-Dataset Skeleton-based Action Recognition
Rapid progress and superior performance have been achieved for skeleton-...
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06/06/2022
OrdinalCLIP: Learning Rank Prompts for Language-Guided Ordinal Regression
This paper presents a language-powered paradigm for ordinal regression. ...
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04/03/2022
BNV-Fusion: Dense 3D Reconstruction using Bi-level Neural Volume Fusion
Dense 3D reconstruction from a stream of depth images is the key to many...
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12/04/2021
LAVT: Language-Aware Vision Transformer for Referring Image Segmentation
Referring image segmentation is a fundamental vision-language task that ...
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12/02/2021
DenseCLIP: Language-Guided Dense Prediction with Context-Aware Prompting
Recent progress has shown that large-scale pre-training using contrastiv...
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07/19/2021
Unsupervised Embedding Learning from Uncertainty Momentum Modeling
Existing popular unsupervised embedding learning methods focus on enhanc...
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06/13/2020
Uncertainty-aware Score Distribution Learning for Action Quality Assessment
Assessing action quality from videos has attracted growing attention in ...
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03/20/2020
Comprehensive Instructional Video Analysis: The COIN Dataset and Performance Evaluation
Thanks to the substantial and explosively inscreased instructional video...
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03/07/2019
