computer vision

Effective Graph and Rank-based Contextual Embeddings for Textual and Multimedia Data

GRaCE surpasses RaDE and Original Features across diverse datasets, including textual and image collections, excelling in retrieval, classification, and clustering tasks, considering state-of-the-art Transformer models as feature descriptors and Graph Convolutional Networks models in classification tasks.

Unsupervised Keypoints for Real-Time Fall Detection: Comparative Analysis Under Real-world Conditions with Predictive Bandwidth Reduction

A fall-monitoring framework is proposed that replaces continuous video transmission with compact motion representations, using unsupervised keypoints which are extracted locally, and a variational recurrent model is used to forecast motion at the staff end, followed by fall classification.

VBVR-Pro: A Scalable and Verifiable Suite for Native Visual Reasoning

This work introduces VBVR-Pro, a closed-loop testbed that makes native visual reasoning through generation trainable, verifiable, optimizable, and experimentally controllable, and identifies recurring failure modes of the prevalent VLM-as-a-judge paradigm.

Slot2Text: Object-Centric Visual Tokenization for Efficient and Spatially Traceable Surgical MLLMs

Slot2Text, a dual-mode surgical MLLM that replaces dense representations of visual input with a compact set of regions encoded as slot latents, establishes compact slot latents as an efficient default visual interface for surgical MLLMs, with grounded reasoning invoked when greater spatial traceability is required.

UI2App: Benchmarking Visual Interaction Inference in Executable Web Application Generation

UI2App is the first benchmark targeting interaction inference, the ability to recover application behavior from screenshots alone, without any textual or behavioral guidance, and designs an end-to-end pipeline that evaluates each artifact along four dimensions: executability, navigation reachability, visual fidelity, a...

PhysCoRe: Physics-Corrected Residual World Models for Material-Aware Deformable Dynamics

Experiments on real deformable-object manipulation sequences show that PhysCoRe outperforms state-of-the-art baselines in prediction accuracy, and that its predicted confidence forms a reliable distribution across the object's geometry, providing a natural signal for future confidence-guided exploration.

ReViV: Reconstructing the Viewer and the View in 4D from Monocular Egocentric Video

ReViV is the first unified framework for holistic egocentric 4D reconstruction that extracts both viewer and view dynamics from a single monocular RGB video and achieves state-of-the-art accuracy and efficiency across holistic ego-body, hand, and gaze reconstruction, camera tracking, while maintaining highly competitiv...

Is management commitment a necessity after all in software process improvement?

Literature and practice has established that the lack of management commitment has been one of the top reasons for a failed SPI (software process improvement) initiative. The paper reports results from an ongoing study aimed at clarifying the role and the meaning of management commitment in SPI initiatives. Results fro...

Rethinking the Concept of Commitment in Software Process Improvement

It is shown that current thinking relies on models of commitment that are flawed in both academic and practical sense and four misconceptions are identified in current thinking.

Commitment development in software process improvement: critical misconceptions

Commitment in software process improvement - in search of the process

The Interaction Between Organizational Subcultures and User-Centered Design - A Case Study of an Implementation Effort

The results indicate that there exist differences in the views of the nature of UCD, and in the motives for implementing it, in the experiences gained and interpretations made of the use of it in relation to each subculture.