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09/18/2023
Affordance-Driven Next-Best-View Planning for Robotic Grasping
Grasping occluded objects in cluttered environments is an essential comp...
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05/28/2023
On the Value of Myopic Behavior in Policy Reuse
Leveraging learned strategies in unfamiliar scenarios is fundamental to ...
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04/24/2023
Transformer-based stereo-aware 3D object detection from binocular images
Vision Transformers have shown promising progress in various object dete...
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12/19/2022
Positive-incentive Noise
Noise is conventionally viewed as a severe problem in diverse fields, e....
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07/19/2021
VisDrone-CC2020: The Vision Meets Drone Crowd Counting Challenge Results
Crowd counting on the drone platform is an interesting topic in computer...
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03/09/2021
Weather GAN: Multi-Domain Weather Translation Using Generative Adversarial Networks
In this paper, a new task is proposed, namely, weather translation, whic...
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11/30/2020
BOTD: Bold Outline Text Detector
Recently, text detection for arbitrary shape has attracted more and more...
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03/10/2020
Graph Convolutional Auto-encoder with Bi-decoder and Adaptive-sharing Adjacency
Graph autoencoder (GAE) serves as an effective unsupervised learning fra...
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02/20/2020
Adaptive Graph Auto-Encoder for General Data Clustering
Graph based clustering plays an important role in clustering area. Recen...
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02/20/2020
Embedding Graph Auto-Encoder with Joint Clustering via Adjacency Sharing
Graph convolution networks have attracted many attentions and several gr...
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01/10/2020
NWPU-Crowd: A Large-Scale Benchmark for Crowd Counting
In the last decade, crowd counting attracts much attention of researcher...
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04/24/2019
A CNN-RNN Architecture for Multi-Label Weather Recognition
Weather Recognition plays an important role in our daily lives and many ...
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01/04/2018
