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09/09/2023
Towards Real-World Burst Image Super-Resolution: Benchmark and Method
Despite substantial advances, single-image super-resolution (SISR) is al...
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08/31/2023
LightGrad: Lightweight Diffusion Probabilistic Model for Text-to-Speech
Recent advances in neural text-to-speech (TTS) models bring thousands of...
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03/09/2023
Mastering Strategy Card Game (Hearthstone) with Improved Techniques
Strategy card game is a well-known genre that is demanding on the intell...
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11/07/2022
A Unified Pyramid Recurrent Network for Video Frame Interpolation
Flow-guide synthesis provides a common framework for frame interpolation...
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08/16/2022
Unsupervised domain adaptation semantic segmentation of high-resolution remote sensing imagery with invariant domain-level context memory
Semantic segmentation is a key technique involved in automatic interpret...
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07/06/2022
Difference in Euclidean Norm Can Cause Semantic Divergence in Batch Normalization
In this paper, we show that the difference in Euclidean norm of samples ...
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06/24/2022
PSP: Million-level Protein Sequence Dataset for Protein Structure Prediction
Proteins are essential component of human life and their structures are ...
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02/25/2022
Active Learning for Point Cloud Semantic Segmentation via Spatial-Structural Diversity Reasoning
The expensive annotation cost is notoriously known as a main constraint ...
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02/07/2022
Evaluating Robustness of Cooperative MARL: A Model-based Approach
In recent years, a proliferation of methods were developed for cooperati...
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10/18/2021
Vega: A 10-Core SoC for IoT End-Nodes with DNN Acceleration and Cognitive Wake-Up From MRAM-Based State-Retentive Sleep Mode
The Internet-of-Things requires end-nodes with ultra-low-power always-on...
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07/20/2021
Attention-Guided NIR Image Colorization via Adaptive Fusion of Semantic and Texture Clues
Near infrared (NIR) imaging has been widely applied in low-light imaging...
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07/13/2021
CentripetalText: An Efficient Text Instance Representation for Scene Text Detection
Scene text detection remains a grand challenge due to the variation in t...
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04/08/2021
Image-based Virtual Fitting Room
Virtual fitting room is a challenging task yet useful feature for e-comm...
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03/10/2020
Automated discovery of a robust interatomic potential for aluminum
Atomistic molecular dynamics simulation is an important tool for predict...
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03/07/2020
DASNet: Dual attentive fully convolutional siamese networks for change detection of high resolution satellite images
Change detection is a basic task of remote sensing image processing. The...
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12/20/2019
Chart Auto-Encoders for Manifold Structured Data
Auto-encoding and generative models have made tremendous successes in im...
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06/15/2019
Large Intelligent Surface/Antennas (LISA): Making Reflective Radios Smart
Large intelligent surface/antennas (LISA), a two-dimensional artificial ...
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02/26/2019
EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs
Graph representation learning resurges as a trending research subject ow...
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09/06/2018
Deep Learning for Generic Object Detection: A Survey
Generic object detection, aiming at locating object instances from a lar...
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07/23/2018
A Frequency-Domain Characterization of Optimal Error Covariance for the Kalman-Bucy Filter
In this paper, we discover that the trace of the division of the optimal...
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01/30/2018
FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling
The graph convolutional networks (GCN) recently proposed by Kipf and Wel...
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05/30/2017
