5 citations · 14 across the 21 of their papers we have counts for
9 papers · 1 filter
Tell Me What to Track: Infusing Robust Language Guidance for Enhanced Referring Multi-Object Tracking
Wenjun Huang, Yang Ni, Hanning Chen +4
Referring multi-object tracking (RMOT) is an emerging cross-modal task that aims to localize an arbitrary number of targets based on a language expression and continuously track th…
Expanding Event Modality Applications through a Robust CLIP-Based Encoder
Sungheon Jeong, Hanning Chen, Sanggeon Yun +4
This paper introduces a powerful encoder that transfers CLIP`s capabilities to event-based data, enhancing its utility and expanding its applicability across diverse domains. While…
VLTP: Vision-Language Guided Token Pruning for Task-Oriented Segmentation
Hanning Chen, Yang Ni, Wenjun Huang +6
Vision Transformers (ViTs) have emerged as the backbone of many segmentation models, consistently achieving state-of-the-art (SOTA) performance. However, their success comes at a s…
Recoverable Anonymization for Pose Estimation: A Privacy-Enhancing Approach
Wenjun Huang, Yang Ni, Arghavan Rezvani +5
Human pose estimation (HPE) is crucial for various applications. However, deploying HPE algorithms in surveillance contexts raises significant privacy concerns due to the potential…
EcoSense: Energy-Efficient Intelligent Sensing for In-Shore Ship Detection through Edge-Cloud Collaboration
Wenjun Huang, Hanning Chen, Yang Ni +5
Detecting marine objects inshore presents challenges owing to algorithmic intricacies and complexities in system deployment. We propose a difficulty-aware edge-cloud collaborative…
TaskCLIP: Extend Large Vision-Language Model for Task Oriented Object Detection
Hanning Chen, Wenjun Huang, Yang Ni +6
Task-oriented object detection aims to find objects suitable for accomplishing specific tasks. As a challenging task, it requires simultaneous visual data processing and reasoning…
HEAL: Brain-inspired Hyperdimensional Efficient Active Learning
Yang Ni, Zhuowen Zou, Wenjun Huang +6
Drawing inspiration from the outstanding learning capability of our human brains, Hyperdimensional Computing (HDC) emerges as a novel computing paradigm, and it leverages high-dime…
A Plug-in Tiny AI Module for Intelligent and Selective Sensor Data Transmission
Wenjun Huang, Arghavan Rezvani, Hanning Chen +4
Applications in the Internet of Things (IoT) utilize machine learning to analyze sensor-generated data. However, a major challenge lies in the lack of targeted intelligence in curr…
HyperSense: Hyperdimensional Intelligent Sensing for Energy-Efficient Sparse Data Processing
Sanggeon Yun, Hanning Chen, Ryozo Masukawa +6
Introducing HyperSense, our co-designed hardware and software system efficiently controls Analog-to-Digital Converter (ADC) modules' data generation rate based on object presence p…