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Related papers: Reconstructing Experiences through Sketching

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Iterative Hessian sketch (IHS) is an effective sketching method for modeling large-scale data. It was originally proposed by Pilanci and Wainwright (2016; JMLR) based on randomized sketching matrices. However, it is computationally…

Machine Learning · Statistics 2020-03-10 Aijun Zhang , Hengtao Zhang , Guosheng Yin

Test-Time Scaling enhances the reasoning capabilities of Large Language Models by allocating additional inference compute to broaden the exploration of the solution space. However, existing search strategies typically treat rollouts as…

Computation and Language · Computer Science 2026-05-06 Xinglin Wang , Jiayi Shi , Shaoxiong Feng , Peiwen Yuan , Yiwei Li , Yueqi Zhang , Chuyi Tan , Ji Zhang , Boyuan Pan , Yao Hu , Kan Li

In the process of product design and digital fabrication, the structural analysis of a designed prototype is a fundamental and essential step. However, such a step is usually invisible or inaccessible to designers at the early sketching…

Computer Vision and Pattern Recognition · Computer Science 2023-12-12 Deng Yu , Chufeng Xiao , Manfred Lau , Hongbo Fu

Sketch mapping is widely used in crime scene investigation (CSI) to document, interpret, and communicate spatial information. However, it is typically performed on 2D media, which limits its ability to represent 3D spatial relationships. We…

Human-Computer Interaction · Computer Science 2026-04-22 Tianyi Xiao , Yizi Chen , Sidi Wu , Peter Kiefer , Yan Feng , Martin Raubal

Sketching enables many exciting applications, notably, image retrieval. The fear-to-sketch problem (i.e., "I can't sketch") has however proven to be fatal for its widespread adoption. This paper tackles this "fear" head on, and for the…

Computer Vision and Pattern Recognition · Computer Science 2022-03-29 Ayan Kumar Bhunia , Subhadeep Koley , Abdullah Faiz Ur Rahman Khilji , Aneeshan Sain , Pinaki Nath Chowdhury , Tao Xiang , Yi-Zhe Song

Iteratively refining and critiquing sketches are crucial steps to developing effective designs. We introduce Scones, a mixed-initiative, machine-learning-driven system that enables users to iteratively author sketches from text…

Human-Computer Interaction · Computer Science 2020-05-19 Forrest Huang , Eldon Schoop , David Ha , John Canny

Sketches are the most abstract 2D representations of real-world objects. Although a sketch usually has geometrical distortion and lacks visual cues, humans can effortlessly envision a 3D object from it. This suggests that sketches encode…

Computer Vision and Pattern Recognition · Computer Science 2022-01-20 Jiayun Wang , Jierui Lin , Qian Yu , Runtao Liu , Yubei Chen , Stella X. Yu

While vision-language models (VLMs) have exhibited multi-turn visual reasoning capabilities, their reasoning trajectories remain relatively shallow and are dominated by a text-centric paradigm, limiting their applicability to complex visual…

Computer Vision and Pattern Recognition · Computer Science 2026-05-27 Zhiwei Ning , Wenwen Tong , Xiangli Kong , Shengnan Ma , Ziyi Shang , Jingcheng Ni , Tao Hu , Yong Xien Chng , Jixuan Ying , Zehuan Wu , Hanming Deng , Jie Yang , Yuanjie Zheng , Wei Liu , Lewei Lu

Sketches, with their expressive potential, allow humans to convey the essence of an object through even a rough contour. For the first time, we harness this expressive potential to improve segmentation performance in challenging tasks like…

Computer Vision and Pattern Recognition · Computer Science 2025-02-03 Ying Zang , Runlong Cao , Jianqi Zhang , Yidong Han , Ziyue Cao , Wenjun Hu , Didi Zhu , Lanyun Zhu , Zejian Li , Deyi Ji , Tianrun Chen

We propose a novel approach to program synthesis, focusing on synthesizing database queries. At a high level, our proposed algorithm takes as input a sketch with soft constraints encoding user intent, and then iteratively interacts with the…

Programming Languages · Computer Science 2021-10-12 Osbert Bastani , Xin Zhang , Armando Solar-Lezama

Sketching techniques have become popular for scaling up machine learning algorithms by reducing the sample size or dimensionality of massive data sets, while still maintaining the statistical power of big data. In this paper, we study…

Machine Learning · Computer Science 2016-10-11 Jialei Wang , Jason D. Lee , Mehrdad Mahdavi , Mladen Kolar , Nathan Srebro

One tough problem of image inpainting is to restore complex structures in the corrupted regions. It motivates interactive image inpainting which leverages additional hints, e.g., sketches, to assist the inpainting process. Sketch is simple…

Computer Vision and Pattern Recognition · Computer Science 2024-05-21 Chang Liu , Shunxin Xu , Jialun Peng , Kaidong Zhang , Dong Liu

Free-hand sketches are highly illustrative, and have been widely used by humans to depict objects or stories from ancient times to the present. The recent prevalence of touchscreen devices has made sketch creation a much easier task than…

Computer Vision and Pattern Recognition · Computer Science 2022-02-02 Peng Xu , Timothy M. Hospedales , Qiyue Yin , Yi-Zhe Song , Tao Xiang , Liang Wang

The goal of Scene-level Sketch-Based Image Retrieval is to retrieve natural images matching the overall semantics and spatial layout of a free-hand sketch. Unlike prior work focused on architectural augmentations of retrieval models, we…

Computer Vision and Pattern Recognition · Computer Science 2025-09-09 Emil Demić , Luka Čehovin Zajc

Sketching is a natural and effective visual communication medium commonly used in creative processes. Recent developments in deep-learning models drastically improved machines' ability in understanding and generating visual content. An…

Human-Computer Interaction · Computer Science 2021-11-22 Forrest Huang , Eldon Schoop , David Ha , Jeffrey Nichols , John Canny

The recent explosion in popularity of large language models (LLMs) has inspired learning engineers to incorporate them into adaptive educational tools that automatically score summary writing. Understanding and evaluating LLMs is vital…

Human-Computer Interaction · Computer Science 2024-03-08 Adam Coscia , Langdon Holmes , Wesley Morris , Joon Suh Choi , Scott Crossley , Alex Endert

Although originally developed to evaluate sets of items, recall is often used to evaluate rankings of items, including those produced by recommender, retrieval, and other machine learning systems. The application of recall without a formal…

Information Retrieval · Computer Science 2024-12-03 Fernando Diaz , Michael D. Ekstrand , Bhaskar Mitra

In the context of a classroom lesson, concepts must be visualized and organized in many ways depending on the needs of the teacher and students. Traditional presentation media such as the blackboard or electronic whiteboard allow for static…

Human-Computer Interaction · Computer Science 2018-09-20 Ken Perlin , Zhenyi He , Karl Rosenberg

Sketch-based image editing aims to synthesize and modify photos based on the structural information provided by the human-drawn sketches. Since sketches are difficult to collect, previous methods mainly use edge maps instead of sketches to…

Computer Vision and Pattern Recognition · Computer Science 2020-01-10 Shuai Yang , Zhangyang Wang , Jiaying Liu , Zongming Guo

Sketching is an important activity for understanding, designing, and communicating different aspects of software systems such as their requirements or architecture. Often, sketches start on paper or whiteboards, are revised, and may evolve…

Software Engineering · Computer Science 2017-08-08 Sebastian Baltes , Fabrice Hollerich , Stephan Diehl
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