Search Results for author: Yuting Zhang

Found 18 papers, 3 papers with code

Modeling Dual Period-Varying Preferences for Takeaway Recommendation

1 code implementation7 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.

Recommendation Systems

rPPG-MAE: Self-supervised Pre-training with Masked Autoencoders for Remote Physiological Measurement

no code implementations4 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.

Contrastive Learning

PolyFormer: Referring Image Segmentation as Sequential Polygon Generation

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)

Image Segmentation Quantization +6

Light Field Depth Estimation via Stitched Epipolar Plane Images

no code implementations29 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.

Depth Estimation

Dynamically Grown Generative Adversarial Networks

no code implementations16 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.

Image Generation

Visual Relationship Detection Using Part-and-Sum Transformers with Composite Queries

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.

Human-Object Interaction Detection Relationship Detection +1

Computational analysis of pathological image enables interpretable prediction for microsatellite instability

no code implementations7 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.

Feature Importance whole slide images

Hierarchical Novelty Detection for Visual Object Recognition

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.

Generalized Zero-Shot Learning Novelty Detection +1

Towards Understanding the Invertibility of Convolutional Neural Networks

no code implementations24 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.

Compressive Sensing General Classification

Discriminative Bimodal Networks for Visual Localization and Detection with Natural Language Queries

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.

Natural Language Queries Visual Localization

Augmenting Supervised Neural Networks with Unsupervised Objectives for Large-scale Image Classification

no code implementations21 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.

General Classification Image Classification

Deep Visual Analogy-Making

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.

Language Modelling Visual Analogies

Improving Object Detection with Deep Convolutional Networks via Bayesian Optimization and Structured Prediction

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.

Bayesian Optimization object-detection +2

Robust Face Recognition by Constrained Part-based Alignment

no code implementations20 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.

Face Alignment Face Recognition +1

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