2 citations · 4 across the 11 of their papers we have counts for
9 papers · 1 filter
UniDA3D: A Unified Domain-Adaptive Framework for Multi-View 3D Object Detection
Hongjing Wu, Cheng Chi, Jinlin Wu +3
Camera-only 3D object detection is critical for autonomous driving, offering a cost-effective alternative to LiDAR based methods. In particular, multi-view 3D object detection has…
MetaCaptioner: Towards Generalist Visual Captioning with Open-source Suites
Zhenxin Lei, Zhangwei Gao, Changyao Tian +12
Generalist visual captioning goes beyond a simple appearance description task, but requires integrating a series of visual cues into a caption and handling various visual domains.…
From Data to Modeling: Fully Open-vocabulary Scene Graph Generation
Zuyao Chen, Jinlin Wu, Zhen Lei +1
We present OvSGTR, a novel transformer-based framework for fully open-vocabulary scene graph generation that overcomes the limitations of traditional closed-set models. Conventiona…
Compile Scene Graphs with Reinforcement Learning
Zuyao Chen, Jinlin Wu, Zhen Lei +2
Next-token prediction is the fundamental principle for training large language models (LLMs), and reinforcement learning (RL) further enhances their reasoning performance. As an ef…
SA-Person: Text-Based Person Retrieval with Scene-aware Re-ranking
Yingjia Xu, Jinlin Wu, Daming Gao +5
Text-based person retrieval aims to identify a target individual from an image gallery using a natural language description. Existing methods primarily focus on appearance-driven c…
What Makes a Scene ? Scene Graph-based Evaluation and Feedback for Controllable Generation
Zuyao Chen, Jinlin Wu, Zhen Lei +1
While text-to-image generation has been extensively studied, generating images from scene graphs remains relatively underexplored, primarily due to challenges in accurately modelin…
GPT4SGG: Synthesizing Scene Graphs from Holistic and Region-specific Narratives
Zuyao Chen, Jinlin Wu, Zhen Lei +2
Training Scene Graph Generation (SGG) models with natural language captions has become increasingly popular due to the abundant, cost-effective, and open-world generalization super…
FRCSyn Challenge at WACV 2024:Face Recognition Challenge in the Era of Synthetic Data
Pietro Melzi, Ruben Tolosana, Ruben Vera-Rodriguez +44
Despite the widespread adoption of face recognition technology around the world, and its remarkable performance on current benchmarks, there are still several challenges that must…
Expanding Scene Graph Boundaries: Fully Open-vocabulary Scene Graph Generation via Visual-Concept Alignment and Retention
Zuyao Chen, Jinlin Wu, Zhen Lei +2
Scene Graph Generation (SGG) offers a structured representation critical in many computer vision applications. Traditional SGG approaches, however, are limited by a closed-set assu…