activity
20172026
most citedAdversarial Learning for Semi-Supervised Semantic Segmentation

373 citations · 709 across the 54 of their papers we have counts for

collaborators
Showing 2023Show all

7 papers · 1 filter

cs.CV2023★ 4 cited

Diffusion-SS3D: Diffusion Model for Semi-supervised 3D Object Detection

Cheng-Ju Ho, Chen-Hsuan Tai, Yen-Yu Lin +2

Semi-supervised object detection is crucial for 3D scene understanding, efficiently addressing the limitation of acquiring large-scale 3D bounding box annotations. Existing methods…

cs.CV2023★ 3 cited

PTT: Point-Trajectory Transformer for Efficient Temporal 3D Object Detection

Kuan-Chih Huang, Weijie Lyu, Ming-Hsuan Yang +1

Recent temporal LiDAR-based 3D object detectors achieve promising performance based on the two-stage proposal-based approach. They generate 3D box candidates from the first-stage d…

cs.CV2023★ 1 cited

Weakly Supervised 3D Object Detection via Multi-Level Visual Guidance

Kuan-Chih Huang, Yi-Hsuan Tsai, Ming-Hsuan Yang

Weakly supervised 3D object detection aims to learn a 3D detector with lower annotation cost, e.g., 2D labels. Unlike prior work which still relies on few accurate 3D annotations,…

cs.CV2023

Text-Driven Image Editing via Learnable Regions

Yuanze Lin, Yi-Wen Chen, Yi-Hsuan Tsai +2

Language has emerged as a natural interface for image editing. In this paper, we introduce a method for region-based image editing driven by textual prompts, without the need for u…

cs.CV2023★ 1 cited

Editing 3D Scenes via Text Prompts without Retraining

Shuangkang Fang, Yufeng Wang, Yi Yang +4

Numerous diffusion models have recently been applied to image synthesis and editing. However, editing 3D scenes is still in its early stages. It poses various challenges, such as t…

cs.CV2023

Delving into Motion-Aware Matching for Monocular 3D Object Tracking

Kuan-Chih Huang, Ming-Hsuan Yang, Yi-Hsuan Tsai

Recent advances of monocular 3D object detection facilitate the 3D multi-object tracking task based on low-cost camera sensors. In this paper, we find that the motion cue of object…

cs.CV2023★ 10 cited

Multimodal Prompting with Missing Modalities for Visual Recognition

Yi-Lun Lee, Yi-Hsuan Tsai, Wei-Chen Chiu +1

In this paper, we tackle two challenges in multimodal learning for visual recognition: 1) when missing-modality occurs either during training or testing in real-world situations; a…