activity
20162024
most citedContext-Aware Interaction Network for RGB-T Semantic Segmentation

127 citations · 404 across the 9 of their papers we have counts for

collaborators

9 papers

cs.LG2024

Distribution Alignment for Fully Test-Time Adaptation with Dynamic Online Data Streams

Ziqiang Wang, Zhixiang Chi, Yanan Wu +4

Given a model trained on source data, Test-Time Adaptation (TTA) enables adaptation and inference in test data streams with domain shifts from the source. Current methods predomina…

cs.CV20248 cited

A Survey on Generative AI and LLM for Video Generation, Understanding, and Streaming

Pengyuan Zhou, Lin Wang, Zhi Liu +4

This paper offers an insightful examination of how currently top-trending AI technologies, i.e., generative artificial intelligence (Generative AI) and large language models (LLMs)…

cs.CV2024127 cited

Context-Aware Interaction Network for RGB-T Semantic Segmentation

Ying Lv, Zhi Liu, Gongyang Li

RGB-T semantic segmentation is a key technique for autonomous driving scenes understanding. For the existing RGB-T semantic segmentation methods, however, the effective exploration…

cs.CV2023123 cited

Salient Object Detection in Optical Remote Sensing Images Driven by Transformer

Gongyang Li, Zhen Bai, Zhi Liu +2

Existing methods for Salient Object Detection in Optical Remote Sensing Images (ORSI-SOD) mainly adopt Convolutional Neural Networks (CNNs) as the backbone, such as VGG and ResNet.…

cs.CV2023

Deep Neural Networks in Video Human Action Recognition: A Review

Zihan Wang, Yang Yang, Zhi Liu +1

Currently, video behavior recognition is one of the most foundational tasks of computer vision. The 2D neural networks of deep learning are built for recognizing pixel-level inform…

cs.CR20221 cited

DeepTLS: comprehensive and high-performance feature extraction for encrypted traffic

Zhi Liu

Feature extraction is critical for TLS traffic analysis using machine learning techniques, which it is also very difficult and time-consuming requiring huge engineering efforts. We…