1 citations · 2 across the 7 of their papers we have counts for
7 papers
XEmoGPT: An Explainable Multimodal Emotion Recognition Framework with Cue-Level Perception and Reasoning
Hanwen Zhang, Yao Liu, Peiyuan Jiang +6
Explainable Multimodal Emotion Recognition plays a crucial role in applications such as human-computer interaction and social media analytics. However, current approaches struggle…
Objaverse++: Curated 3D Object Dataset with Quality Annotations
Chendi Lin, Heshan Liu, Qunshu Lin +6
This paper presents Objaverse++, a curated subset of Objaverse enhanced with detailed attribute annotations by human experts. Recent advances in 3D content generation have been dri…
Knowledge Consultation for Semi-Supervised Semantic Segmentation
Thuan Than, Nhat-Anh Nguyen-Dang, Dung Nguyen +7
Semi-Supervised Semantic Segmentation reduces reliance on extensive annotations by using unlabeled data and state-of-the-art models to improve overall performance. Despite the succ…
EucliDreamer: Fast and High-Quality Texturing for 3D Models with Depth-Conditioned Stable Diffusion
Cindy Le, Congrui Hetang, Chendi Lin +2
We present EucliDreamer, a simple and effective method to generate textures for 3D models given text prompts and meshes. The texture is parametrized as an implicit function on the…
Segment Anything Model for Road Network Graph Extraction
Congrui Hetang, Haoru Xue, Cindy Le +3
We propose SAM-Road, an adaptation of the Segment Anything Model (SAM) for extracting large-scale, vectorized road network graphs from satellite imagery. To predict graph geometry,…
Fast and Interpretable Face Identification for Out-Of-Distribution Data Using Vision Transformers
Hai Phan, Cindy Le, Vu Le +2
Most face identification approaches employ a Siamese neural network to compare two images at the image embedding level. Yet, this technique can be subject to occlusion (e.g. faces…
EucliDreamer: Fast and High-Quality Texturing for 3D Models with Stable Diffusion Depth
Cindy Le, Congrui Hetang, Chendi Lin +2
This paper presents a novel method to generate textures for 3D models given text prompts and 3D meshes. Additional depth information is taken into account to perform the Score Dist…