The advent of large models, also known as foundation models, has significantly transformed
the AI research landscape, with models like Segment Anything (SAM) achieving notable …

The ascension of Unmanned Aerial Vehicles (UAVs) in various fields necessitates effective
UAV image segmentation, which faces challenges due to the dynamic perspectives of UAV …

Open-vocabulary 3D segmentation enables exploration of 3D spaces using free-form text
descriptions. Existing methods for open-vocabulary 3D instance segmentation primarily …

We propose to re-emphasize the low-level texture information in deep networks for semantic
segmentation and related knowledge distillation tasks. Low-level texture feature/knowledge …

This paper proposes a new effective and efficient plug-and-play backbone for video-based
person re-identification (ReID). Conventional video-based ReID methods typically use CNN …

The recent development in multimodal learning has greatly advanced the research in 3D
scene understanding in various real-world tasks such as embodied AI. However, most …

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 …

In this paper, we address the challenge of Perspective-Invariant Learning in machine
learning and computer vision, which involves enabling a network to understand images from …