activity
20172021
most citedSolving Long-tailed Recognition with Deep Realistic Taxonomic Classifier

4 citations · 5 across the 2 of their papers we have counts for

collaborators

6 papers

cs.CV2021

Learning of Visual Relations: The Devil is in the Tails

Alakh Desai, Tz-Ying Wu, Subarna Tripathi +1

Significant effort has been recently devoted to modeling visual relations. This has mostly addressed the design of architectures, typically by adding parameters and increasing mode…

cs.CV20204 cited

Solving Long-tailed Recognition with Deep Realistic Taxonomic Classifier

Tz-Ying Wu, Pedro Morgado, Pei Wang +2

Long-tail recognition tackles the natural non-uniformly distributed data in real-world scenarios. While modern classifiers perform well on populated classes, its performance degrad…

cs.CV2020

Exploit Clues from Views: Self-Supervised and Regularized Learning for Multiview Object Recognition

Chih-Hui Ho, Bo Liu, Tz-Ying Wu +1

Multiview recognition has been well studied in the literature and achieves decent performance in object recognition and retrieval task. However, most previous works rely on supervi…

cs.CV2020

Explainable Object-induced Action Decision for Autonomous Vehicles

Yiran Xu, Xiaoyin Yang, Lihang Gong +4

A new paradigm is proposed for autonomous driving. The new paradigm lies between the end-to-end and pipelined approaches, and is inspired by how humans solve the problem. While it…

cs.CV2018

Liquid Pouring Monitoring via Rich Sensory Inputs

Tz-Ying Wu, Juan-Ting Lin, Tsun-Hsuang Wang +3

Humans have the amazing ability to perform very subtle manipulation task using a closed-loop control system with imprecise mechanics (i.e., our body parts) but rich sensory informa…

cs.CV20171 cited

Anticipating Daily Intention using On-Wrist Motion Triggered Sensing

Tz-Ying Wu, Ting-An Chien, Cheng-Sheng Chan +2

Anticipating human intention by observing one's actions has many applications. For instance, picking up a cellphone, then a charger (actions) implies that one wants to charge the c…