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07/31/2023
JOTR: 3D Joint Contrastive Learning with Transformers for Occluded Human Mesh Recovery
In this study, we focus on the problem of 3D human mesh recovery from a ...
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07/16/2023
Communicative Agents for Software Development
Software engineering is a domain characterized by intricate decision-mak...
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07/05/2023
ZJU ReLER Submission for EPIC-KITCHEN Challenge 2023: TREK-150 Single Object Tracking
The Associating Objects with Transformers (AOT) framework has exhibited ...
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07/05/2023
ZJU ReLER Submission for EPIC-KITCHEN Challenge 2023: Semi-Supervised Video Object Segmentation
The Associating Objects with Transformers (AOT) framework has exhibited ...
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06/05/2023
DAGrid: Directed Accumulator Grid
Recent research highlights that the Directed Accumulator (DA), through i...
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03/15/2023
DeDA: Deep Directed Accumulator
Chronic active multiple sclerosis lesions, also termed as rim+ lesions, ...
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03/06/2023
Metamorphic Testing for Smart Contract Vulnerabilities Detection
Despite the rapid growth of smart contracts, they are suffering numerous...
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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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02/10/2023
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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01/19/2023
Spatially Covariant Lesion Segmentation
Compared to natural images, medical images usually show stronger visual ...
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12/03/2022
iEnhancer-ELM: Improve Enhancer Identification by Extracting Multi-scale Contextual Information based on Enhancer Language Models
Motivation: Enhancers are important cis-regulatory elements that regulat...
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12/01/2022
Score Jacobian Chaining: Lifting Pretrained 2D Diffusion Models for 3D Generation
A diffusion model learns to predict a vector field of gradients. We prop...
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11/01/2022
LARO: Learned Acquisition and Reconstruction Optimization to accelerate Quantitative Susceptibility Mapping
Quantitative susceptibility mapping (QSM) involves acquisition and recon...
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10/20/2022
Improving Chinese Spelling Check by Character Pronunciation Prediction: The Effects of Adaptivity and Granularity
Chinese spelling check (CSC) is a fundamental NLP task that detects and ...
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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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05/16/2022
Roman: Making Everyday Objects Robotically Manipulable with 3D-Printable Add-on Mechanisms
One important vision of robotics is to provide physical assistance by ma...
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04/07/2022
Adapting CLIP For Phrase Localization Without Further Training
Supervised or weakly supervised methods for phrase localization (textual...
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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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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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02/19/2021
Curvy: An Interactive Design Tool for Varying Density Support Structures
We introduce Curvy-an interactive design tool to generate varying densit...
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09/14/2020
Adaptive Generation Model: A New Ensemble Method
As a common method in Machine Learning, Ensemble Method is used to train...
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07/22/2020
Romeo: A Design Tool for Embedding Transformable Parts in 3D Models to Robotically Augment Default Functionalities
Reconfiguring shapes of objects enables transforming existing passive ob...
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03/01/2020
STC-Flow: Spatio-temporal Context-aware Optical Flow Estimation
In this paper, we propose a spatio-temporal contextual network, STC-Flow...
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10/23/2019
Iterative Matching Point
In this paper, we propose a neural network-based point cloud registratio...
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09/22/2018
