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Digital camera pipelines employ color constancy methods to estimate an unknown scene illuminant, in order to re-illuminate images as if they were acquired under an achromatic light source. Fully-supervised learning approaches exhibit…

Computer Vision and Pattern Recognition · Computer Science 2019-04-05 Steven McDonagh , Sarah Parisot , Fengwei Zhou , Xing Zhang , Ales Leonardis , Zhenguo Li , Gregory Slabaugh

Multi-Agent Path Finding (MAPF) is an important core problem for many new and emerging industrial applications. Many works appear on this topic each year, and a large number of substantial advancements and performance improvements have been…

Artificial Intelligence · Computer Science 2023-05-16 Bojie Shen , Zhe Chen , Muhammad Aamir Cheema , Daniel D. Harabor , Peter J. Stuckey

Disciplines such as business process management and process mining aid organizations by discovering insights about processes on the basis of recorded event data. However, an obstacle to process analysis is data multi-modality: for instance,…

Computer Vision and Pattern Recognition · Computer Science 2026-04-27 Marco Pegoraro , Jonas Seng , Dustin Heller , Wil M. P. van der Aalst , Kristian Kersting

Optical flow provides information on relative motion that is an important component in many computer vision pipelines. Neural networks provide high accuracy optical flow, yet their complexity is often prohibitive for application at the edge…

Computer Vision and Pattern Recognition · Computer Science 2023-07-13 Yannick Schnider , Stanislaw Wozniak , Mathias Gehrig , Jules Lecomte , Axel von Arnim , Luca Benini , Davide Scaramuzza , Angeliki Pantazi

Diffusion models have shown remarkable capabilities in generating high-fidelity data across modalities such as images, audio, and video. However, their computational intensity makes deployment on edge devices a significant challenge. This…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-04-23 Dongqi Zheng

Current state-of-the-art methods for video inpainting typically rely on optical flow or attention-based approaches to inpaint masked regions by propagating visual information across frames. While such approaches have led to significant…

Event cameras have recently gained significant traction since they open up new avenues for low-latency and low-power solutions to complex computer vision problems. To unlock these solutions, it is necessary to develop algorithms that can…

Computer Vision and Pattern Recognition · Computer Science 2023-09-28 Federico Paredes-Vallés , Kirk Y. W. Scheper , Christophe De Wagter , Guido C. H. E. de Croon

Applications' performance is influenced by the mapping of processes to computing nodes, the frequency and volume of exchanges among processing elements, the network capacity, and the routing protocol. A poor mapping of application processes…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-03-11 Jonas H. Müller Korndörfer , Mario Bielert , Laércio L. Pilla , Florina M. Ciorba

Video matting has traditionally been limited by the lack of high-quality ground-truth data. Most existing video matting datasets provide only human-annotated imperfect alpha and foreground annotations, which must be composited to background…

Computer Vision and Pattern Recognition · Computer Science 2025-08-12 Yongtao Ge , Kangyang Xie , Guangkai Xu , Mingyu Liu , Li Ke , Longtao Huang , Hui Xue , Hao Chen , Chunhua Shen

Recent interactive matting methods have shown satisfactory performance in capturing the primary regions of objects, but they fall short in extracting fine-grained details in edge regions. Diffusion models trained on billions of image-text…

Computer Vision and Pattern Recognition · Computer Science 2025-08-05 Longfei Huang , Yu Liang , Hao Zhang , Jinwei Chen , Wei Dong , Lunde Chen , Wanyu Liu , Bo Li , Peng-Tao Jiang

Recent diffusion-based methods for material transfer rely on image fine-tuning or complex architectures with assistive networks, but face challenges including text dependency, extra computational costs, and feature misalignment. To address…

Computer Vision and Pattern Recognition · Computer Science 2026-05-18 Nisha Huang , Henglin Liu , Yizhou Lin , Kaer Huang , Chubin Chen , Jie Guo , Tong-Yee Lee , Xiu Li

Video generation based on diffusion models presents a challenging multimodal task, with video editing emerging as a pivotal direction in this field. Recent video editing approaches primarily fall into two categories: training-required and…

Computer Vision and Pattern Recognition · Computer Science 2025-05-13 Junhao Xia , Chaoyang Zhang , Yecheng Zhang , Chengyang Zhou , Zhichang Wang , Bochun Liu , Dongshuo Yin

Many manipulation tasks require the robot to rearrange objects relative to one another. Such tasks can be described as a sequence of relative poses between parts of a set of rigid bodies. In this work, we propose MATCH POLICY, a simple but…

Robotics · Computer Science 2025-03-04 Haojie Huang , Haotian Liu , Dian Wang , Robin Walters , Robert Platt

Operations over data streams typically hinge on efficient mechanisms to aggregate or summarize history on a rolling basis. For high-volume data steams, it is critical to manage state in a manner that is fast and memory efficient --…

Data Structures and Algorithms · Computer Science 2024-09-24 Matthew Andres Moreno , Luis Zaman , Emily Dolson

Flow matching has shown state-of-the-art performance in various generative tasks, ranging from image generation to decision-making, where generation under energy guidance (abbreviated as guidance in the following) is pivotal. However, the…

Machine Learning · Computer Science 2025-05-27 Ruiqi Feng , Chenglei Yu , Wenhao Deng , Peiyan Hu , Tailin Wu

Signal processing is a fundamental component of almost any sensor-enabled system, with a wide range of applications across different scientific disciplines. Time series data, images, and video sequences comprise representative forms of…

In recent years, diffusion models have emerged as the most powerful approach in image synthesis. However, applying these models directly to video synthesis presents challenges, as it often leads to noticeable flickering contents. Although…

Computer Vision and Pattern Recognition · Computer Science 2023-08-11 Zhongjie Duan , Lizhou You , Chengyu Wang , Cen Chen , Ziheng Wu , Weining Qian , Jun Huang

In multistage perfect matching problems we are given a sequence of graphs on the same vertex set and asked to find a sequence of perfect matchings, corresponding to the sequence of graphs, such that consecutive matchings are as similar as…

Data Structures and Algorithms · Computer Science 2021-05-11 Markus Chimani , Niklas Troost , Tilo Wiedera

We present a novel, purely affinity-based natural image matting algorithm. Our method relies on carefully defined pixel-to-pixel connections that enable effective use of information available in the image. We control the information flow…

Computer Vision and Pattern Recognition · Computer Science 2019-04-15 Yağız Aksoy , Tunç Ozan Aydın , Marc Pollefeys

Video generation has recently emerged as a central task in the field of generative AI. However, the substantial computational cost inherent in video synthesis makes model distillation a critical technique for efficient deployment. Despite…

Computer Vision and Pattern Recognition · Computer Science 2026-03-24 Yuyang You , Yongzhi Li , Jiahui Li , Yadong Mu , Quan Chen , Peng Jiang