IEEE

Object-Oriented Integrated Sensing and Communications (ISAC) Channel Modeling for Low-Altitude 3D Spaces

Abstract: This paper presents a novel framework for object-oriented integrated sensing and communications (ISAC) channel modeling in urban environments over low-altitude 3D space, which jointly ...
IEEE

SPGformer: Serial–Parallel Hybrid GCN-Transformer With Graph-Oriented Encoder for 2-D-to-3-D Human Pose Estimation

Abstract: Accurate acquisition of 3-D human joint poses holds significant implications for tasks such as human action recognition. Monocular single-frame 2-D -to-3-D pose estimation focuses on ...
GitHub

TASTE-Rob: Advancing Video Generation of Task-Oriented Hand-Object Interaction for Generalizable Robotic Manipulation

We introduce TASTE-Rob: 1) a dataset with 100,856 task-oriented hand-object interaction videos, 2) a three-stage pose-refinement video generation pipeline. With the above contributions, TASTE-Rob is ...
IEEE

Structure-Adaptive Oriented Object Detection Network for Remote Sensing Images

Abstract: Nowadays, high-resolution remote sensing images provide rich data sources and deep learning models show powerful feature representation capability for remote sensing object detection.
Communications of the ACM

The Process-Object Duality of Learning Programming in the GenAI Era

GenAI may be accelerating a developmental transition in how learners conceptualize programming itself.
IEEE

Unified Five-Distance Bounding Box Representation for Remote Sensing Oriented Object Detection

Abstract: Currently, due to the densely packed and varied orientations of objects in the remote sensing images, oriented object detection is still a challenging task. In the existing methods, the ...
IEEE

DFDNet: Deep Feature Decoupling for Oriented Object Detection

Abstract: Objects in remote sensing images exhibit diverse orientations. Current oriented object detection (OOD) methods estimate the object angle by designing different loss functions and bounding ...
IEEE

Improving Transferability of Adversarial Samples via Critical Region-Oriented Feature-Level Attack

Abstract: Deep neural networks (DNNs) have received a lot of attention because of their impressive progress in computer vision. However, it has been recently shown that DNNs are vulnerable to being ...
IEEE

Point-Based Weakly Semisupervised Oriented Vehicle Detection in Optical Remote Sensing Images

Abstract: Vehicle detection is vital for urban planning and traffic management. Optical remote sensing imagery, known for its high resolution and extensive coverage, is ideal for this task.
IEEE

Process Injection Using Return-Oriented Programming

Abstract: Return-oriented programming (ROP) is a code-reuse attack that uses borrowed chunks of executable code for arbitrary computation. On Windows, ROP is often used solely to bypass Data Execution ...
IEEE

Multiobject Graph Affordance Network: Goal-Oriented Planning Through Learned Compound Object Affordances

Abstract: Learning object affordances is an effective tool in the field of robot learning. While the data-driven models investigate affordances of single or paired objects, there is a gap in the ...
The Blood-Horse

Goal Oriented Retired, to Stand at Spendthrift

Goal Oriented , the grade 1-winning son of Not This Time , has been retired from racing and will take up stud duty at Spendthrift Farm for the 2026 breeding season, the farm announced Jan. 11. His ...