activity
20182022
most citedTAP-Net: Transport-and-Pack using Reinforcement Learning

46 citations · 138 across the 10 of their papers we have counts for

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Showing cs.CVShow all

6 papers · 1 filter

cs.CV20222 cited

Contrastive Masked Autoencoders for Self-Supervised Video Hashing

Yuting Wang, Jinpeng Wang, Bin Chen +2

Self-Supervised Video Hashing (SSVH) models learn to generate short binary representations for videos without ground-truth supervision, facilitating large-scale video retrieval eff…

cs.CV2022

ViT-P: Rethinking Data-efficient Vision Transformers from Locality

Bin Chen, Ran Wang, Di Ming +1

Recent advances of Transformers have brought new trust to computer vision tasks. However, on small dataset, Transformers is hard to train and has lower performance than convolution…

cs.CV202111 cited

Shape-driven Coordinate Ordering for Star Glyph Sets via Reinforcement Learning

Ruizhen Hu, Bin Chen, Juzhan Xu +3

We present a neural optimization model trained with reinforcement learning to solve the coordinate ordering problem for sets of star glyphs. Given a set of star glyphs associated t…

cs.CV202018 cited

Dual Refinement Feature Pyramid Networks for Object Detection

Jialiang Ma, Bin Chen

FPN is a common component used in object detectors, it supplements multi-scale information by adjacent level features interpolation and summation. However, due to the existence of…

cs.CV20202 cited

Adversarial Attack on Deep Product Quantization Network for Image Retrieval

Yan Feng, Bin Chen, Tao Dai +1

Deep product quantization network (DPQN) has recently received much attention in fast image retrieval tasks due to its efficiency of encoding high-dimensional visual features espec…

cs.CV20194 cited

A Comparison of Stereo-Matching Cost between Convolutional Neural Network and Census for Satellite Images

Bihe Chen, Rongjun Qin, Xu Huang +2

Stereo dense image matching can be categorized to low-level feature based matching and deep feature based matching according to their matching cost metrics. Census has been proofed…