no code implementations • 16 Mar 2023 • Kunyang Han, Yong liu, Jun Hao Liew, Henghui Ding, Yunchao Wei, Jiajun Liu, Yitong Wang, Yansong Tang, Yujiu Yang, Jiashi Feng, Yao Zhao
Recent advancements in pre-trained vision-language models, such as CLIP, have enabled the segmentation of arbitrary concepts solely from textual inputs, a process commonly referred to as open-vocabulary semantic segmentation (OVS).
Knowledge Distillation Open Vocabulary Semantic Segmentation +3
no code implementations • 31 Oct 2022 • Ziwei Wang, Reza Arablouei, Jiajun Liu, Paulo Borges, Greg Bishop-hurley, Nicholas Heaney
Object classification using LiDAR 3D point cloud data is critical for modern applications such as autonomous driving.
1 code implementation • 27 Oct 2022 • Yudong Chen, Sen Wang, Jiajun Liu, Xuwei Xu, Frank de Hoog, Zi Huang
Motivated by the positive effect of the projector in feature distillation, we propose an ensemble of projectors to further improve the quality of student features.
1 code implementation • 15 Aug 2022 • Yaxian Li, Bingqing Zhang, Guoping Zhao, Mingyu Zhang, Jiajun Liu, Ziwei Wang, JiRong Wen
After a survey for person-tracking system-induced privacy concerns, we propose a black-box adversarial attack method on state-of-the-art human detection models called InvisibiliTee.
no code implementations • 15 Aug 2022 • Guoping Zhao, Bingqing Zhang, Mingyu Zhang, Yaxian Li, Jiajun Liu, Ji-Rong Wen
It models a video with a lattice feature graph in which the nodes represent regions of different granularity, with weighted edges that represent the spatial and temporal links.
no code implementations • 1 Aug 2022 • Yang Li, Jiajun Liu, Brano Kusy, Ross Marchant, Brendan Do, Torsten Merz, Joey Crosswell, Andy Steven, Lachlan Tychsen-Smith, David Ahmedt-Aristizabal, Jeremy Oorloff, Peyman Moghadam, Russ Babcock, Megha Malpani, Ard Oerlemans
Crown-of-Thorn Starfish (COTS) outbreaks are a major cause of coral loss on the Great Barrier Reef (GBR) and substantial surveillance and control programs are ongoing to manage COTS populations to ecologically sustainable levels.
1 code implementation • 24 Jun 2022 • Reza Arablouei, Ziwei Wang, Greg J. Bishop-Hurley, Jiajun Liu
However, the multimodal animal behavior classification algorithm based on posterior probability fusion is preferable to the one based on feature concatenation as it delivers better classification accuracy, has less computational and memory complexity, is more robust to sensor data failure, and enjoys better modularity.
no code implementations • 3 Jun 2022 • Yanping Zheng, Hanzhi Wang, Zhewei Wei, Jiajun Liu, Sibo Wang
With the development of numerous GNN variants, recent years have witnessed groundbreaking results in improving the scalability of GNNs to work on static graphs with millions of nodes.
no code implementations • 29 Nov 2021 • Jiajun Liu, Brano Kusy, Ross Marchant, Brendan Do, Torsten Merz, Joey Crosswell, Andy Steven, Nic Heaney, Karl Von Richter, Lachlan Tychsen-Smith, David Ahmedt-Aristizabal, Mohammad Ali Armin, Geoffrey Carlin, Russ Babcock, Peyman Moghadam, Daniel Smith, Tim Davis, Kemal El Moujahid, Martin Wicke, Megha Malpani
Crown-of-Thorn Starfish (COTS) outbreaks are a major cause of coral loss on the Great Barrier Reef (GBR) and substantial surveillance and control programs are underway in an attempt to manage COTS populations to ecologically sustainable levels.
1 code implementation • 4 Jan 2021 • Thejan Rajapakshe, Rajib Rana, Sara Khalifa, Björn W. Schuller, Jiajun Liu
In addition, extended learning period is a general challenge for deep RL which can impact the speed of learning for SER.
no code implementations • 12 Jul 2019 • Guoping Zhao, Mingyu Zhang, Jiajun Liu, Ji-Rong Wen
Such tendency indicates that the model indeed learned how to toy with both image retrieval systems and human eyes.
no code implementations • 8 Oct 2017 • Yanlei Yu, Zhiwu Lu, Jiajun Liu, Guoping Zhao, Ji-Rong Wen, Kai Zheng
We propose a novel network representations learning model framework called RUM (network Representation learning throUgh Multi-level structural information preservation).
no code implementations • 10 Jul 2017 • Lianli Gao, Jingkuan Song, Xingyi Liu, Junming Shao, Jiajun Liu, Jie Shao
Given the high dimensionality and the high complexity of multimedia data, it is important to investigate new machine learning algorithms to facilitate multimedia data analysis.
no code implementations • 18 Feb 2015 • Jiajun Liu, Kun Zhao, Brano Kusy, Ji-Rong Wen, Raja Jurdak
The prediction of periodical time-series remains challenging due to various types of data distortions and misalignments.