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08/06/2023
Enabling High Performance Debugging for Variational Quantum Algorithms using Compressed Sensing
Variational quantum algorithms (VQAs) can potentially solve practical pr...
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06/16/2023
FETNet: Feature Erasing and Transferring Network for Scene Text Removal
The scene text removal (STR) task aims to remove text regions and recove...
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09/02/2022
DPIT: Dual-Pipeline Integrated Transformer for Human Pose Estimation
Human pose estimation aims to figure out the keypoints of all people in ...
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08/31/2022
An Empirical Study and Analysis of Learning Generalizable Manipulation Skill in the SAPIEN Simulator
This paper provides a brief overview of our submission to the no interac...
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03/09/2022
Part-level Action Parsing via a Pose-guided Coarse-to-Fine Framework
Action recognition from videos, i.e., classifying a video into one of th...
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10/07/2021
A Baseline Framework for Part-level Action Parsing and Action Recognition
This technical report introduces our 2nd place solution to Kinetics-TPS ...
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10/07/2021
Uncertainty Set Prediction of Aggregated Wind Power Generation based on Bayesian LSTM and Spatio-Temporal Analysis
Aggregated stochastic characteristics of geographically distributed wind...
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04/09/2021
Noisy-Labeled NER with Confidence Estimation
Recent studies in deep learning have shown significant progress in named...
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06/18/2020
Language Guided Networks for Cross-modal Moment Retrieval
We address the challenging task of cross-modal moment retrieval, which a...
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06/17/2020
A Real-time Action Representation with Temporal Encoding and Deep Compression
Deep neural networks have achieved remarkable success for video-based ac...
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02/22/2020
Structural Combinatorial of Network Information System of Systems based on Evolutionary Optimization Method
The network information system is a military information network system ...
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02/21/2020
Fine-Grained Instance-Level Sketch-Based Video Retrieval
Existing sketch-analysis work studies sketches depicting static objects ...
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03/02/2019
PartNet: A Recursive Part Decomposition Network for Fine-grained and Hierarchical Shape Segmentation
Deep learning approaches to 3D shape segmentation are typically formulat...
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12/15/2018
Solar Cell Surface Defect Inspection Based on Multispectral Convolutional Neural Network
Similar and indeterminate defect detection of solar cell surface with he...
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04/12/2018
Bilateral Teleoperation of Multiple Robots under Scheduling Communication
In this paper, bilateral teleoperation of multiple slaves coupled to a s...
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10/20/2017
Generalized Zero-Shot Learning for Action Recognition with Web-Scale Video Data
Action recognition in surveillance video makes our life safer by detecti...
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10/17/2017
Large-Scale 3D Shape Reconstruction and Segmentation from ShapeNet Core55
We introduce a large-scale 3D shape understanding benchmark using data a...
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07/11/2017