361 citations · 394 across the 11 of their papers we have counts for
11 papers
The 8th AI City Challenge
Shuo Wang, David C. Anastasiu, Zheng Tang +21
The eighth AI City Challenge highlighted the convergence of computer vision and artificial intelligence in areas like retail, warehouse settings, and Intelligent Traffic Systems (I…
Advancing Human Action Recognition with Foundation Models trained on Unlabeled Public Videos
Yang Qian, Yinan Sun, Ali Kargarandehkordi +7
The increasing variety and quantity of tagged multimedia content on a variety of online platforms offer a unique opportunity to advance the field of human action recognition. In th…
Latent Space Inference For Spatial Transcriptomics
J. Ding, S. N. Zaman, P. Y. Chen +1
In order to understand the complexities of cellular biology, researchers are interested in two important metrics: the genetic expression information of cells and their spatial coor…
FishEye8K: A Benchmark and Dataset for Fisheye Camera Object Detection
Munkhjargal Gochoo, Munkh-Erdene Otgonbold, Erkhembayar Ganbold +9
With the advance of AI, road object detection has been a prominent topic in computer vision, mostly using perspective cameras. Fisheye lens provides omnidirectional wide coverage f…
SARAS-Net: Scale and Relation Aware Siamese Network for Change Detection
Chao-Peng Chen, Jun-Wei Hsieh, Ping-Yang Chen +2
Change detection (CD) aims to find the difference between two images at different times and outputs a change map to represent whether the region has changed or not. To achieve a be…
SMILEtrack: SiMIlarity LEarning for Occlusion-Aware Multiple Object Tracking
Yu-Hsiang Wang, Jun-Wei Hsieh, Ping-Yang Chen +3
Despite recent progress in Multiple Object Tracking (MOT), several obstacles such as occlusions, similar objects, and complex scenes remain an open challenge. Meanwhile, a systemat…
Learnable Discrete Wavelet Pooling (LDW-Pooling) For Convolutional Networks
Bor-Shiun Wang, Jun-Wei Hsieh, Ming-Ching Chang +3
Pooling is a simple but essential layer in modern deep CNN architectures for feature aggregation and extraction. Typical CNN design focuses on the conv layers and activation functi…
MS-DARTS: Mean-Shift Based Differentiable Architecture Search
Jun-Wei Hsieh, Ming-Ching Chang, Ping-Yang Chen +3
Differentiable Architecture Search (DARTS) is an effective continuous relaxation-based network architecture search (NAS) method with low search cost. It has attracted significant a…
Parallel Residual Bi-Fusion Feature Pyramid Network for Accurate Single-Shot Object Detection
Ping-Yang Chen, Ming-Ching Chang, Jun-Wei Hsieh +1
This paper proposes the Parallel Residual Bi-Fusion Feature Pyramid Network (PRB-FPN) for fast and accurate single-shot object detection. Feature Pyramid (FP) is widely used in rec…
Residual Bi-Fusion Feature Pyramid Network for Accurate Single-shot Object Detection
Ping-Yang Chen, Jun-Wei Hsieh, Chien-Yao Wang +2
State-of-the-art (SoTA) models have improved the accuracy of object detection with a large margin via a FP (feature pyramid). FP is a top-down aggregation to collect semantically s…
CSPNet: A New Backbone that can Enhance Learning Capability of CNN
Chien-Yao Wang, Hong-Yuan Mark Liao, I-Hau Yeh +3
Neural networks have enabled state-of-the-art approaches to achieve incredible results on computer vision tasks such as object detection. However, such success greatly relies on co…