activity
20172024
most citedAn Empirical Evaluation of Visual Question Answering for Novel Objects

10 citations · 16 across the 5 of their papers we have counts for

collaborators

5 papers

cs.HC2024★ 3 cited

Computational Trichromacy Reconstruction: Empowering the Color-Vision Deficient to Recognize Colors Using Augmented Reality

Yuhao Zhu, Ethan Chen, Colin Hascup +2

We propose an assistive technology that helps individuals with Color Vision Deficiencies (CVD) to recognize/name colors. A dichromat's color perception is a reduced two-dimensional…

cs.LG2024

SelfBC: Self Behavior Cloning for Offline Reinforcement Learning

Shirong Liu, Chenjia Bai, Zixian Guo +3

Policy constraint methods in offline reinforcement learning employ additional regularization techniques to constrain the discrepancy between the learned policy and the offline data…

cs.LG2023★ 2 cited

Sentence Bag Graph Formulation for Biomedical Distant Supervision Relation Extraction

Hao Zhang, Yang Liu, Xiaoyan Liu +4

We introduce a novel graph-based framework for alleviating key challenges in distantly-supervised relation extraction and demonstrate its effectiveness in the challenging and impor…

cs.CL2021★ 1 cited

Distantly-Supervised Long-Tailed Relation Extraction Using Constraint Graphs

Tianming Liang, Yang Liu, Xiaoyan Liu +3

Label noise and long-tailed distributions are two major challenges in distantly supervised relation extraction. Recent studies have shown great progress on denoising, but paid litt…

cs.CV2017★ 10 cited

An Empirical Evaluation of Visual Question Answering for Novel Objects

Santhosh K. Ramakrishnan, Ambar Pal, Gaurav Sharma +1

We study the problem of answering questions about images in the harder setting, where the test questions and corresponding images contain novel objects, which were not queried abou…