1 code implementation • 30 Jan 2024 • Yuanjie Lyu, Zhiyu Li, Simin Niu, Feiyu Xiong, Bo Tang, Wenjin Wang, Hao Wu, Huanyong Liu, Tong Xu, Enhong Chen, Yi Luo, Peng Cheng, Haiying Deng, Zhonghao Wang, Zijia Lu
For each of these CRUD categories, we have developed comprehensive datasets to evaluate the performance of RAG systems.
no code implementations • 30 Nov 2023 • Zhonghao Wang, Wei Wei, Yang Zhao, Zhisheng Xiao, Mark Hasegawa-Johnson, Humphrey Shi, Tingbo Hou
We further extend our method to a novel image editing task: substituting the subject in an image through textual manipulations.
1 code implementation • 26 Nov 2023 • Xun Liang, Shichao Song, Simin Niu, Zhiyu Li, Feiyu Xiong, Bo Tang, Zhaohui Wy, Dawei He, Peng Cheng, Zhonghao Wang, Haiying Deng
These techniques encompass the use of directed hallucination induction and strategies that deliberately alter authentic text to produce hallucinations.
1 code implementation • ICCV 2023 • Shen Yan, Xuehan Xiong, Arsha Nagrani, Anurag Arnab, Zhonghao Wang, Weina Ge, David Ross, Cordelia Schmid
While large-scale image-text pretrained models such as CLIP have been used for multiple video-level tasks on trimmed videos, their use for temporal localization in untrimmed videos is still a relatively unexplored task.
Ranked #1 on Action Segmentation on COIN
no code implementations • 20 Jul 2023 • Zhonghao Wang, Zijia Lu, Bo Jin, Haiying Deng
Large language models (LLMs) have shown remarkable capabilities in generating high-quality text and making predictions based on large amounts of data, including the media domain.
no code implementations • 13 Oct 2021 • Kai Wang, Zhonghao Wang, Mo Yu, Humphrey Shi
The manager agent is a multi-hop plan generator dealing with high-level abstract information and generating a series of sub-goals in a backward manner.
1 code implementation • CVPR 2021 • Xingqian Xu, Zhifei Zhang, Zhaowen Wang, Brian Price, Zhonghao Wang, Humphrey Shi
We also introduce Text Refinement Network (TexRNet), a novel text segmentation approach that adapts to the unique properties of text, e. g. non-convex boundary, diverse texture, etc., which often impose burdens on traditional segmentation models.
1 code implementation • ICCV 2021 • Zhonghao Wang, Kai Wang, Mo Yu, JinJun Xiong, Wen-mei Hwu, Mark Hasegawa-Johnson, Humphrey Shi
Finally, we achieve a higher level of interpretability by imposing OCCAM on the objects represented in the induced symbolic concept space.
Ranked #3 on Visual Question Answering (VQA) on CLEVR
no code implementations • 2 Apr 2020 • Zhonghao Wang, Yunchao Wei, Rogerior Feris, JinJun Xiong, Wen-mei Hwu, Thomas S. Huang, Humphrey Shi
A key challenge of this task is how to alleviate the data distribution discrepancy between the source and target domains, i. e. reducing domain shift.
1 code implementation • CVPR 2020 • Zhonghao Wang, Mo Yu, Yunchao Wei, Rogerio Feris, JinJun Xiong, Wen-mei Hwu, Thomas S. Huang, Humphrey Shi
We consider the problem of unsupervised domain adaptation for semantic segmentation by easing the domain shift between the source domain (synthetic data) and the target domain (real data) in this work.
Ranked #8 on Semantic Segmentation on DensePASS
no code implementations • 31 Oct 2017 • Zhonghao Wang, Yujun Gu, Ya zhang, Jun Zhou, Xiao Gu
The VAM is further connected to a global network to form an end-to-end network structure through Impdrop connection which randomly Dropout on the feature maps with the probabilities given by the attention map.