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AI modeling for source code understanding tasks has been making significant progress, and is being adopted in production development pipelines. However, reliability concerns, especially whether the models are actually learning task-related…

Software Engineering · Computer Science 2022-01-11 Sahil Suneja , Yufan Zhuang , Yunhui Zheng , Jim Laredo , Alessandro Morari

This paper aims to accelerate video stream processing, such as object detection and semantic segmentation, by leveraging the temporal redundancies that exist between video frames. Instead of propagating and warping features using motion…

Computer Vision and Pattern Recognition · Computer Science 2022-03-21 Amirhossein Habibian , Haitam Ben Yahia , Davide Abati , Efstratios Gavves , Fatih Porikli

Canonical Correlation Analysis (CCA) is a method for feature extraction of two views by finding maximally correlated linear projections of them. Several variants of CCA have been introduced in the literature, in particular, variants based…

Machine Learning · Computer Science 2022-03-25 Tomer Friedlander , Lior Wolf

Background: Modern Code Review (MCR) is a key component for delivering high-quality software and sharing knowledge among developers. Effective reviews require an in-depth understanding of the code and demand from the reviewers to…

Software Engineering · Computer Science 2024-02-16 Michael Unterkalmsteiner , Deepika Badampudi , Ricardo Britto , Nauman bin Ali

Developing an algorithm for a visualization prototype often involves the direct comparison of different development stages and design decisions, and even minor modifications may dramatically affect the results. While existing development…

Software Engineering · Computer Science 2020-01-08 Fabian Bolte , Stefan Bruckner

We motivate the design and implementation of a platform-neutral compute intermediate language (PENCIL) for productive and performance-portable accelerator programming.

Long video question answering is a challenging task that involves recognizing short-term activities and reasoning about their fine-grained relationships. State-of-the-art video Large Language Models (vLLMs) hold promise as a viable solution…

Computer Vision and Pattern Recognition · Computer Science 2024-05-07 Reuben Tan , Ximeng Sun , Ping Hu , Jui-hsien Wang , Hanieh Deilamsalehy , Bryan A. Plummer , Bryan Russell , Kate Saenko

This work proposes a robust Partial Domain Adaptation (PDA) framework that mitigates the negative transfer problem by incorporating a robust target-supervision strategy. It leverages ensemble learning and includes diverse, complementary…

Computer Vision and Pattern Recognition · Computer Science 2023-09-11 Sandipan Choudhuri , Suli Adeniye , Arunabha Sen

This paper demonstrates that a progressively aligned language model can effectively bridge frozen vision encoders and large language models (LLMs). While the fundamental architecture and pre-training methods of vision encoders and LLMs have…

Computer Vision and Pattern Recognition · Computer Science 2024-06-04 Junfei Xiao , Zheng Xu , Alan Yuille , Shen Yan , Boyu Wang

The area of software development and secure coding can benefit significantly from advancements in virtual assistants. Research has shown that many coders neglect security in favor of meeting deadlines. This shortcoming leaves systems…

Cryptography and Security · Computer Science 2021-05-14 Fitzroy D. Nembhard , Marco M. Carvalho

Video coding is a critical step in all popular methods of streaming video. Marked progress has been made in video quality, compression, and computational efficiency. Recently, there has been an interest in finding ways to apply techniques…

Image and Video Processing · Electrical Eng. & Systems 2019-05-14 Everett Fall , Kai-wei Chang , Liang-Gee Chen

Development of distributed systems is a difficult task. Declarative programming techniques hold a promising potential for effectively supporting programmer in this challenge. While Datalog-based languages have been actively explored for…

Programming Languages · Computer Science 2010-07-23 Nuno P. Lopes , Juan A. Navarro , Andrey Rybalchenko , Atul Singh

While Video Large Language Models (Video-LLMs) excel in general understanding, they exhibit systematic deficits in fine-grained physical reasoning. Existing interventions not only suffer from limited generalization but fundamentally…

Computer Vision and Pattern Recognition · Computer Science 2026-05-07 Zicheng Zhao , Chaofan Gan , Shijie Li , Weiyao Lin

Designing high-performance error-correcting codes at short blocklengths is critical for low-latency communication systems, where decoding is governed by finite-length and graph-structural effects rather than asymptotic properties. This…

Information Theory · Computer Science 2026-04-10 Atharv Kanchi

The presence of GPU from different vendors demands the Lattice QCD codes to support multiple architectures. To this end, Open Computing Language (OpenCL) is one of the viable frameworks for writing a portable code. It is of interest to find…

High Energy Physics - Lattice · Physics 2025-02-06 Piyush Kumar , Szabolcs Borsanyi , Jana N. Guenther , Chik Him Wong

Building Task-Oriented Dialogue (TOD) systems that generalize across different tasks remains a challenging problem. Data-driven approaches often struggle to transfer effectively to unseen tasks. While recent schema-based TOD frameworks…

Computation and Language · Computer Science 2026-04-21 Radin Shayanfar , Chu Fei Luo , Rohan Bhambhoria , Samuel Dahan , Xiaodan Zhu

We conduct a subjective experiment to compare the performance of traditional image coding methods and learning-based image coding methods. HEVC and VVC, the state-of-the-art traditional coding methods, are used as the representative…

Computer Vision and Pattern Recognition · Computer Science 2021-07-29 Zhigao Fang , Jiaqi Zhang , Lu Yu , Yin Zhao

Designing channel codes under low-latency constraints is one of the most demanding requirements in 5G standards. However, a sharp characterization of the performance of traditional codes is available only in the large block-length limit.…

Signal Processing · Electrical Eng. & Systems 2020-07-27 Yihan Jiang , Hyeji Kim , Himanshu Asnani , Sreeram Kannan , Sewoong Oh , Pramod Viswanath

The use of applications on computers, smartphones, and tablets has been considerably simplied thanks to interactive and dynamic graphical interfaces coupled with the mouse and touch screens. It is no longer necessary to be a computer…

Human-Computer Interaction · Computer Science 2025-11-21 Michel Adam , Patrice Frison , Moncef Daoud , Sabine Letellier Zarshenas

In perceptual image coding applications, the main objective is to decrease, as much as possible, Bits Per Pixel (BPP) while avoiding noticeable distortions in the reconstructed image. In this paper, we propose a novel perceptual image…

Image and Video Processing · Electrical Eng. & Systems 2021-02-10 Lee Prangnell , Victor Sanchez
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