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20162024
most citedKnowledge-Defined Networking

353 citations · 391 across the 15 of their papers we have counts for

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Showing cs.CVShow all

8 papers · 1 filter

cs.CV2024

Boosting Online 3D Multi-Object Tracking through Camera-Radar Cross Check

Sheng-Yao Kuan, Jen-Hao Cheng, Hsiang-Wei Huang +6

In the domain of autonomous driving, the integration of multi-modal perception techniques based on data from diverse sensors has demonstrated substantial progress. Effectively surp…

cs.CV2024

DεpS: Delayed ε-Shrinking for Faster Once-For-All Training

Aditya Annavajjala, Alind Khare, Animesh Agrawal +4

CNNs are increasingly deployed across different hardware, dynamic environments, and low-power embedded devices. This has led to the design and training of CNN architectures with th…

cs.CV2024★ 5 cited

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…

cs.CV2023★ 1 cited

CenterRadarNet: Joint 3D Object Detection and Tracking Framework using 4D FMCW Radar

Jen-Hao Cheng, Sheng-Yao Kuan, Hugo Latapie +2

Robust perception is a vital component for ensuring safe autonomous and assisted driving. Automotive radar (77 to 81 GHz), which offers weather-resilient sensing, provides a comple…

cs.CV2023★ 2 cited

VQPy: An Object-Oriented Approach to Modern Video Analytics

Shan Yu, Zhenting Zhu, Yu Chen +6

Video analytics is widely used in contemporary systems and services. At the forefront of video analytics are video queries that users develop to find objects of particular interest…

cs.CV2023

Ethosight: A Reasoning-Guided Iterative Learning System for Nuanced Perception based on Joint-Embedding & Contextual Label Affinity

Hugo Latapie, Shan Yu, Patrick Hammer +14

Traditional computer vision models often necessitate extensive data acquisition, annotation, and validation. These models frequently struggle in real-world applications, resulting…

cs.CV2022★ 1 cited

Learning Omnidirectional Flow in 360-degree Video via Siamese Representation

Keshav Bhandari, Bin Duan, Gaowen Liu +3

Optical flow estimation in omnidirectional videos faces two significant issues: the lack of benchmark datasets and the challenge of adapting perspective video-based methods to acco…

cs.CV2019★ 7 cited

Cascade Attention Guided Residue Learning GAN for Cross-Modal Translation

Bin Duan, Wei Wang, Hao Tang +2

Since we were babies, we intuitively develop the ability to correlate the input from different cognitive sensors such as vision, audio, and text. However, in machine learning, this…