activity
20172023
most citedContrastive Learning for Automotive mmWave Radar Detection Points Based Instance Segmentation

22 citations · 39 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CV2023★ 1 cited

MRGAN360: Multi-stage Recurrent Generative Adversarial Network for 360 Degree Image Saliency Prediction

Pan Gao, Xinlang Chen, Rong Quan +1

Thanks to the ability of providing an immersive and interactive experience, the uptake of 360 degree image content has been rapidly growing in consumer and industrial applications.…

cs.CV2023★ 2 cited

X-Pruner: eXplainable Pruning for Vision Transformers

Lu Yu, Wei Xiang

Recently vision transformer models have become prominent models for a range of tasks. These models, however, usually suffer from intensive computational costs and heavy memory requ…

cs.CV2023★ 2 cited

Diversity is Definitely Needed: Improving Model-Agnostic Zero-shot Classification via Stable Diffusion

Jordan Shipard, Arnold Wiliem, Kien Nguyen Thanh +2

In this work, we investigate the problem of Model-Agnostic Zero-Shot Classification (MA-ZSC), which refers to training non-specific classification architectures (downstream models)…

cs.CV2022★ 6 cited

DPNet: Dual-Path Network for Real-time Object Detection with Lightweight Attention

Quan Zhou, Huimin Shi, Weikang Xiang +3

The recent advances of compressing high-accuracy convolution neural networks (CNNs) have witnessed remarkable progress for real-time object detection. To accelerate detection speed…

cs.CV2022

Meta-Interpolation: Time-Arbitrary Frame Interpolation via Dual Meta-Learning

Shixing Yu, Yiyang Ma, Wenhan Yang +2

Existing video frame interpolation methods can only interpolate the frame at a given intermediate time-step, e.g. 1/2. In this paper, we aim to explore a more generalized kind of v…

cs.CV2022★ 22 cited

Contrastive Learning for Automotive mmWave Radar Detection Points Based Instance Segmentation

Weiyi Xiong, Jianan Liu, Yuxuan Xia +3

The automotive mmWave radar plays a key role in advanced driver assistance systems (ADAS) and autonomous driving. Deep learning-based instance segmentation enables real-time object…

cs.CV2017★ 6 cited

Context-Aware Single-Shot Detector

Wei Xiang, Dong-Qing Zhang, Heather Yu +1

SSD is one of the state-of-the-art object detection algorithms, and it combines high detection accuracy with real-time speed. However, it is widely recognized that SSD is less accu…