Retrieving fine-grained visual content based on user intent remains a
challenge in multi-modal systems. Although current Composed Image Retrieval
(CIR) methods combine reference images with retrieval texts, they are
constrained to image-level match... read more
We present BEVCon, a simple yet effective contrastive learning framework
designed to improve Bird's Eye View (BEV) perception in autonomous driving. BEV
perception offers a top-down-view representation of the surrounding
environment, making it cruc... read more
IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
Aug 6, 2025
OBJECTIVES: After stroke, hand function assessments are used as outcome measures to evaluate new rehabilitation therapies, but do not reflect true performance in natural environments. Wearable (egocentric) cameras provide a way to capture hand functi... read more
With the exponential growth of wireless communication systems, the need for compact, high-performance antennas operating at millimeter-wave (mm-Wave) frequencies has become increasingly critical. This paper presents a comprehensive design and perform... read more
Occlusion perception, a critical foundation for human-level spatial
understanding, embodies the challenge of integrating visual recognition and
reasoning. Though multimodal large language models (MLLMs) have demonstrated
remarkable capabilities, th... read more
This paper presents DDTracking, a novel deep generative framework for
diffusion MRI tractography that formulates streamline propagation as a
conditional denoising diffusion process. In DDTracking, we introduce a
dual-pathway encoding network that j... read more
Crop breeding technologies are vital for global food security. While traditional methods have improved yield, stress tolerance, and nutrition, rising challenges such as climate instability, land loss, and pest pressure now demand new solutions. This ... read more
The Journal of neuroscience : the official journal of the Society for Neuroscience
Aug 6, 2025
The endogenous aspect of social influence, reflected in the spontaneous alignment of behaviors within close social relationships, plays a crucial role in understanding human social behavior. In two studies involving 222 human subjects (Study 1: = 17... read more
Inverse least squares (ILS) regression is an advancement of classical least squares (CLS) regression, enabling the calculation of concentrations without requiring prior knowledge of the number of components in a mixture. Complex-valued ILS further en... read more
Systems like aircraft and spacecraft are expensive to operate in the real
world. The design, validation, and testing for such systems therefore relies on
a combination of mathematical modeling, abundant numerical simulations, and a
relatively small... read more
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