1 code implementation • 26 Jan 2025 • Yang Ji, Ying Sun, Yuting Zhang, Zhigaoyuan Wang, Yuanxin Zhuang, Zheng Gong, Dazhong Shen, Chuan Qin, HengShu Zhu, Hui Xiong
Neural networks have achieved remarkable success across various fields.
1 code implementation • 1 Jul 2024 • Yuting Zhang, Yiqing Wu, Ruidong Han, Ying Sun, Yongchun Zhu, Xiang Li, Wei Lin, Fuzhen Zhuang, Zhulin An, Yongjun Xu
It is therefore feasible to utilize the interaction data from both scenarios to reinforce the dual intents for joint intent-aware modeling.
no code implementations • 18 Mar 2024 • Yuting Zhang, Boyang Liu, Karina V. Bunting, David Brind, Alexander Thorley, Andreas Karwath, Wenqi Lu, Diwei Zhou, Xiaoxia Wang, Alastair R. Mobley, Otilia Tica, Georgios Gkoutos, Dipak Kotecha, Jinming Duan
Within the pipeline, an Atrous Convolutional Neural Network (ACNN) was first trained to segment the left ventricle (LV), before employing the area-length formulation based on the ellipsoid single-plane model to calculate LVEF values.
1 code implementation • 11 Mar 2024 • Yuting Zhang, Hao Lu, Xin Liu, Yingcong Chen, Kaishun Wu
Remote photoplethysmography (rPPG) is a promising technology that captures physiological signals from face videos, with potential applications in medical health, emotional computing, and biosecurity recognition.
2 code implementations • 9 Mar 2024 • Hao Lu, Xuesong Niu, Jiyao Wang, Yin Wang, Qingyong Hu, Jiaqi Tang, Yuting Zhang, Kaishen Yuan, Bin Huang, Zitong Yu, Dengbo He, Shuiguang Deng, Hao Chen, Yingcong Chen, Shiguang Shan
In conclusion, this paper provides valuable insights into the potential applications and challenges of MLLMs in human-centric computing.
no code implementations • 29 Feb 2024 • Guojing Ge, Qi Song, Guibo Zhu, Yuting Zhang, Jinglu Chen, Miao Xin, Ming Tang, Jinqiao Wang
Blind face restoration is a challenging task due to the unknown and complex degradation.
no code implementations • ICCV 2023 • Haofu Liao, Aruni RoyChowdhury, Weijian Li, Ankan Bansal, Yuting Zhang, Zhuowen Tu, Ravi Kumar Satzoda, R. Manmatha, Vijay Mahadevan
We present a new formulation for structured information extraction (SIE) from visually rich documents.
Ranked #4 on
Entity Linking
on FUNSD
1 code implementation • 7 Jun 2023 • Yuting Zhang, Yiqing Wu, Ran Le, Yongchun Zhu, Fuzhen Zhuang, Ruidong Han, Xiang Li, Wei Lin, Zhulin An, Yongjun Xu
Different from traditional recommendation, takeaway recommendation faces two main challenges: (1) Dual Interaction-Aware Preference Modeling.
1 code implementation • 4 Jun 2023 • Xin Liu, Yuting Zhang, Zitong Yu, Hao Lu, Huanjing Yue, Jingyu Yang
However, they focus on the contrastive learning between samples, which neglect the inherent self-similar prior in physiological signals and seem to have a limited ability to cope with noisy.
1 code implementation • CVPR 2023 • Jiang Liu, Hui Ding, Zhaowei Cai, Yuting Zhang, Ravi Kumar Satzoda, Vijay Mahadevan, R. Manmatha
In this work, instead of directly predicting the pixel-level segmentation masks, the problem of referring image segmentation is formulated as sequential polygon generation, and the predicted polygons can be later converted into segmentation masks.
Ranked #1 on
Referring Expression Segmentation
on ReferIt
(using extra training data)
1 code implementation • 29 Mar 2022 • Ping Zhou, Langqing Shi, Xiaoyang Liu, Jing Jin, Yuting Zhang, Junhui Hou
This strategy involves determining the depth of such regions by progressing from the edges towards the interior, prioritizing accurate regions over coarse regions.
no code implementations • CVPR 2021 • Yihe Tang, Weifeng Chen, Yijun Luo, Yuting Zhang
We propose a semi-supervised approach for contemporary object detectors following the teacher-student dual model framework.
no code implementations • 16 Jun 2021 • Lanlan Liu, Yuting Zhang, Jia Deng, Stefano Soatto
Recent work introduced progressive network growing as a promising way to ease the training for large GANs, but the model design and architecture-growing strategy still remain under-explored and needs manual design for different image data.
no code implementations • ICCV 2021 • Qi Dong, Zhuowen Tu, Haofu Liao, Yuting Zhang, Vijay Mahadevan, Stefano Soatto
Computer vision applications such as visual relationship detection and human object interaction can be formulated as a composite (structured) set detection problem in which both the parts (subject, object, and predicate) and the sum (triplet as a whole) are to be detected in a hierarchical fashion.
no code implementations • 7 Oct 2020 • Jin Zhu, Wangwei Wu, Yuting Zhang, Shiyun Lin, Yukang Jiang, Ruixian Liu, Xueqin Wang
Microsatellite instability (MSI) is associated with several tumor types and its status has become increasingly vital in guiding patient treatment decisions.
no code implementations • ECCV 2020 • Ankan Bansal, Yuting Zhang, Rama Chellappa
To enable research in this new topic, we introduce two ISVQA datasets - indoor and outdoor scenes.
1 code implementation • CVPR 2018 • Yuting Zhang, Yijie Guo, Yixin Jin, Yijun Luo, Zhiyuan He, Honglak Lee
Deep neural networks can model images with rich latent representations, but they cannot naturally conceptualize structures of object categories in a human-perceptible way.
no code implementations • CVPR 2018 • Kibok Lee, Kimin Lee, Kyle Min, Yuting Zhang, Jinwoo Shin, Honglak Lee
The essential ingredients of our methods are confidence-calibrated classifiers, data relabeling, and the leave-one-out strategy for modeling novel classes under the hierarchical taxonomy.
no code implementations • 24 May 2017 • Anna C. Gilbert, Yi Zhang, Kibok Lee, Yuting Zhang, Honglak Lee
Several recent works have empirically observed that Convolutional Neural Nets (CNNs) are (approximately) invertible.
no code implementations • CVPR 2017 • Yuting Zhang, Luyao Yuan, Yijie Guo, Zhiyuan He, I-An Huang, Honglak Lee
Our training objective encourages better localization on single images, incorporates text phrases in a broad range, and properly pairs image regions with text phrases into positive and negative examples.
no code implementations • 21 Jun 2016 • Yuting Zhang, Kibok Lee, Honglak Lee
Inspired by the recent trend toward revisiting the importance of unsupervised learning, we investigate joint supervised and unsupervised learning in a large-scale setting by augmenting existing neural networks with decoding pathways for reconstruction.
no code implementations • NeurIPS 2015 • Scott E. Reed, Yi Zhang, Yuting Zhang, Honglak Lee
In addition to identifying the content within a single image, relating images and generating related images are critical tasks for image understanding.
no code implementations • CVPR 2015 • Yuting Zhang, Kihyuk Sohn, Ruben Villegas, Gang Pan, Honglak Lee
Object detection systems based on the deep convolutional neural network (CNN) have recently made ground- breaking advances on several object detection benchmarks.
no code implementations • 20 Jan 2015 • Yuting Zhang, Kui Jia, Yueming Wang, Gang Pan, Tsung-Han Chan, Yi Ma
By assuming a human face as piece-wise planar surfaces, where each surface corresponds to a facial part, we develop in this paper a Constrained Part-based Alignment (CPA) algorithm for face recognition across pose and/or expression.