3 accepted papers
"Prompt learning has surfaced as an effective approach to enhance the performance of Vision-Language Models (VLMs) like CLIP when applied to downstream tasks. However, current learnable prompt tokens are primarily used for the single phase of adapting to tasks (i.e., adapting prompt), easily leading…
"Referring perception, which aims at grounding visual objects with multimodal referring guidance, is essential for bridging the gap between humans, who provide instructions, and the environment where intelligent systems perceive. Despite progress in this field, the robustness of referring perception…
"We present Uni3DL, a unified model for 3D Vision-Language understanding. Distinct from existing unified 3D vision-language models that mostly rely on projected multi-view images and support limited tasks, Uni3DL operates directly on point clouds and significantly broadens the spectrum of tasks in t…