Kaili Wang — accepted AI-conference papers

2022

Audio-Visual Grounding Referring Expression for Robotic Manipulation

Yefei Wang, Kaili Wang, Yi Wang, Di Guo, Huaping Liu, Fuchun Sun

ICRA 2022poster

Referring expressions are commonly used when referring to a specific target in people's daily dialogue. In this paper, we develop a novel task of audio-visual grounding referring expression for robotic manipulation. The robot leverages both the audio and visual information to understand the referrin…

Cited by 19 Source ↗Scholar ↗

2019

Visual Explanation by Interpretation: Improving Visual Feedback Capabilities of Deep Neural Networks

Jose Oramas, Kaili Wang, Tinne Tuytelaars

ICLR 2019poster

Visual Interpretation and explanation of deep models is critical towards wide adoption of systems that rely on them. In this paper, we propose a novel scheme for both interpretation as well as explanation in which, given a pretrained model, we automatically identify internal features relevant for th…

Cited by 89 Source ↗PDF ↗Scholar ↗