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Yu-Siang Wang

3 accepted papers

2021

OCID-Ref: A 3D Robotic Dataset With Embodied Language For Clutter Scene Grounding

NAACL 2021long

To effectively apply robots in working environments and assist humans, it is essential to develop and evaluate how visual grounding (VG) can affect machine performance on occluded objects. However, current VG works are limited in working environments, such as offices and warehouses, where objects ar…

2020

Video Question Generation via Semantic Rich Cross-Modal Self-Attention Networks Learning

ICASSP 2020accepted

We introduce a novel task, Video Question Generation (Video QG). A Video QG model automatically generates questions given a video clip and its corresponding dialogues. Video QG requires a range of skills - sentence comprehension, temporal relation, the interplay between vision and language, and the…

Cited by 0SourceScholar
2019

Adversarial Attacks Beyond the Image Space

CVPR 2019oral

Generating adversarial examples is an intriguing problem and an important way of understanding the working mechanism of deep neural networks. Most existing approaches generated perturbations in the image space, i.e., each pixel can be modified independently. However, in this paper we pay special att…

Cited by 174PDFScholar