Search Results for author: Zhixing Zhang

Found 10 papers, 7 papers with code

AVID: Any-Length Video Inpainting with Diffusion Model

1 code implementation6 Dec 2023 Zhixing Zhang, Bichen Wu, Xiaoyan Wang, Yaqiao Luo, Luxin Zhang, Yinan Zhao, Peter Vajda, Dimitris Metaxas, Licheng Yu

Given a video, a masked region at its initial frame, and an editing prompt, it requires a model to do infilling at each frame following the editing guidance while keeping the out-of-mask region intact.

Image Inpainting Video Inpainting

Taming Self-Training for Open-Vocabulary Object Detection

2 code implementations11 Aug 2023 Shiyu Zhao, Samuel Schulter, Long Zhao, Zhixing Zhang, Vijay Kumar B. G, Yumin Suh, Manmohan Chandraker, Dimitris N. Metaxas

This work identifies two challenges of using self-training in OVD: noisy PLs from VLMs and frequent distribution changes of PLs.

Object object-detection +1

Topology-Preserving Automatic Labeling of Coronary Arteries via Anatomy-aware Connection Classifier

1 code implementation22 Jul 2023 Zhixing Zhang, Ziwei Zhao, Dong Wang, Shishuang Zhao, Yuhang Liu, Jia Liu, LiWei Wang

Automatic labeling of coronary arteries is an essential task in the practical diagnosis process of cardiovascular diseases.

Anatomy

Improving Tuning-Free Real Image Editing with Proximal Guidance

1 code implementation8 Jun 2023 Ligong Han, Song Wen, Qi Chen, Zhixing Zhang, Kunpeng Song, Mengwei Ren, Ruijiang Gao, Anastasis Stathopoulos, Xiaoxiao He, Yuxiao Chen, Di Liu, Qilong Zhangli, Jindong Jiang, Zhaoyang Xia, Akash Srivastava, Dimitris Metaxas

Null-text inversion (NTI) optimizes null embeddings to align the reconstruction and inversion trajectories with larger CFG scales, enabling real image editing with cross-attention control.

OmniLabel: A Challenging Benchmark for Language-Based Object Detection

no code implementations ICCV 2023 Samuel Schulter, Vijay Kumar B G, Yumin Suh, Konstantinos M. Dafnis, Zhixing Zhang, Shiyu Zhao, Dimitris Metaxas

With more than 28K unique object descriptions on over 25K images, OmniLabel provides a challenging benchmark with diverse and complex object descriptions in a naturally open-vocabulary setting.

Object object-detection +1

SINE: SINgle Image Editing with Text-to-Image Diffusion Models

1 code implementation CVPR 2023 Zhixing Zhang, Ligong Han, Arnab Ghosh, Dimitris Metaxas, Jian Ren

We propose a novel model-based guidance built upon the classifier-free guidance so that the knowledge from the model trained on a single image can be distilled into the pre-trained diffusion model, enabling content creation even with one given image.

Image Generation

Exploiting Unlabeled Data with Vision and Language Models for Object Detection

1 code implementation18 Jul 2022 Shiyu Zhao, Zhixing Zhang, Samuel Schulter, Long Zhao, Vijay Kumar B. G, Anastasis Stathopoulos, Manmohan Chandraker, Dimitris Metaxas

We propose a novel method that leverages the rich semantics available in recent vision and language models to localize and classify objects in unlabeled images, effectively generating pseudo labels for object detection.

Ranked #14 on Open Vocabulary Object Detection on MSCOCO (using extra training data)

Object object-detection +3

Global Matching with Overlapping Attention for Optical Flow Estimation

1 code implementation CVPR 2022 Shiyu Zhao, Long Zhao, Zhixing Zhang, Enyu Zhou, Dimitris Metaxas

In this paper, inspired by the traditional matching-optimization methods where matching is introduced to handle large displacements before energy-based optimizations, we introduce a simple but effective global matching step before the direct regression and develop a learning-based matching-optimization framework, namely GMFlowNet.

Optical Flow Estimation regression

Enriching Medcial Terminology Knowledge Bases via Pre-trained Language Model and Graph Convolutional Network

no code implementations2 Sep 2019 Jiaying Zhang, Zhixing Zhang, Huanhuan Zhang, Zhiyuan Ma, Yangming Zhou, Ping He

Afterwards, both semantic and structure embeddings are combined to measure the relevancy between the terminology and the entity.

Language Modelling

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