16 citations · 17 across the 3 of their papers we have counts for
6 papers
Seg-VAR: Image Segmentation with Visual Autoregressive Modeling
Rongkun Zheng, Lu Qi, Xi Chen +3
While visual autoregressive modeling (VAR) strategies have shed light on image generation with the autoregressive models, their potential for segmentation, a task that requires pre…
DisCo: Towards Distinct and Coherent Visual Encapsulation in Video MLLMs
Jiahe Zhao, Rongkun Zheng, Yi Wang +2
In video Multimodal Large Language Models (video MLLMs), the visual encapsulation process plays a pivotal role in converting video contents into representative tokens for LLM input…
SyncVIS: Synchronized Video Instance Segmentation
Rongkun Zheng, Lu Qi, Xi Chen +4
Recent DETR-based methods have advanced the development of Video Instance Segmentation (VIS) through transformers' efficiency and capability in modeling spatial and temporal inform…
ViLLa: Video Reasoning Segmentation with Large Language Model
Rongkun Zheng, Lu Qi, Xi Chen +4
Recent efforts in video reasoning segmentation (VRS) integrate large language models (LLMs) with perception models to localize and track objects via textual instructions, achieving…
InternVideo2: Scaling Foundation Models for Multimodal Video Understanding
Yi Wang, Kunchang Li, Xinhao Li +17
We introduce InternVideo2, a new family of video foundation models (ViFM) that achieve the state-of-the-art results in video recognition, video-text tasks, and video-centric dialog…
TMT-VIS: Taxonomy-aware Multi-dataset Joint Training for Video Instance Segmentation
Rongkun Zheng, Lu Qi, Xi Chen +4
Training on large-scale datasets can boost the performance of video instance segmentation while the annotated datasets for VIS are hard to scale up due to the high labor cost. What…