285 citations · 322 across the 13 of their papers we have counts for
13 papers
FireRed-OCR Technical Report
Hao Wu, Haoran Lou, Xinyue Li +19
We present FireRed-OCR, a systematic framework to specialize general VLMs into high-performance OCR models. Large Vision-Language Models (VLMs) have demonstrated impressive general…
IdGlow: Dynamic Identity Modulation for Multi-Subject Generation
Honghao Cai, Xiangyuan Wang, Jing Li +15
Multi-subject image generation requires seamlessly harmonizing multiple reference identities within a coherent scene. However, existing methods relying on rigid spatial masks or lo…
Vision-DeepResearch Benchmark: Rethinking Visual and Textual Search for Multimodal Large Language Models
Yu Zeng, Wenxuan Huang, Zhen Fang +14
Multimodal Large Language Models (MLLMs) have advanced VQA and now support Vision-DeepResearch systems that use search engines for complex visual-textual fact-finding. However, eva…
Vision-DeepResearch: Incentivizing DeepResearch Capability in Multimodal Large Language Models
Wenxuan Huang, Yu Zeng, Qiuchen Wang +14
Multimodal large language models (MLLMs) have achieved remarkable success across a broad range of vision tasks. However, constrained by the capacity of their internal world knowled…
Mining Open Semantics from CLIP: A Relation Transition Perspective for Few-Shot Learning
Cilin Yan, Haochen Wang, Xiaolong Jiang +4
Contrastive Vision-Language Pre-training(CLIP) demonstrates impressive zero-shot capability. The key to improve the adaptation of CLIP to downstream task with few exemplars lies in…
InstantID: Zero-shot Identity-Preserving Generation in Seconds
Qixun Wang, Xu Bai, Haofan Wang +5
There has been significant progress in personalized image synthesis with methods such as Textual Inversion, DreamBooth, and LoRA. Yet, their real-world applicability is hindered by…
Controllable Mind Visual Diffusion Model
Bohan Zeng, Shanglin Li, Xuhui Liu +6
Brain signal visualization has emerged as an active research area, serving as a critical interface between the human visual system and computer vision models. Although diffusion mo…
MVP-SEG: Multi-View Prompt Learning for Open-Vocabulary Semantic Segmentation
Jie Guo, Qimeng Wang, Yan Gao +4
CLIP (Contrastive Language-Image Pretraining) is well-developed for open-vocabulary zero-shot image-level recognition, while its applications in pixel-level tasks are less investig…
PiClick: Picking the desired mask from multiple candidates in click-based interactive segmentation
Cilin Yan, Haochen Wang, Jie Liu +5
Click-based interactive segmentation aims to generate target masks via human clicking, which facilitates efficient pixel-level annotation and image editing. In such a task, target…
Towards Open-Vocabulary Video Instance Segmentation
Haochen Wang, Cilin Yan, Shuai Wang +5
Video Instance Segmentation (VIS) aims at segmenting and categorizing objects in videos from a closed set of training categories, lacking the generalization ability to handle novel…
OvarNet: Towards Open-vocabulary Object Attribute Recognition
Keyan Chen, Xiaolong Jiang, Yao Hu +4
In this paper, we consider the problem of simultaneously detecting objects and inferring their visual attributes in an image, even for those with no manual annotations provided at…
Decoupled IoU Regression for Object Detection
Yan Gao, Qimeng Wang, Xu Tang +4
Non-maximum suppression (NMS) is widely used in object detection pipelines for removing duplicated bounding boxes. The inconsistency between the confidence for NMS and the real loc…
End-to-end Temporal Action Detection with Transformer
Xiaolong Liu, Qimeng Wang, Yao Hu +4
Temporal action detection (TAD) aims to determine the semantic label and the temporal interval of every action instance in an untrimmed video. It is a fundamental and challenging t…