most citedSeed1.5-VL Technical Report

1 citations · 1 across the 9 of their papers we have counts for

collaborators

11 papers

cs.CV2026

EgoOmniWorld: Unifying Egocentric Understanding via Ego-Action-World Interactions

Songruo Chen, Yuqian Fu, Yu Li +7

Egocentric video understanding spans diverse capabilities, modalities, and evaluation formats, yet these are often studied in isolation despite their tight coupling in real-world i…

cs.CV2026

VideoGen-Agent: Reinforcing Video Generation Agents

Binxu Li, Haoyi Duan, Yuhui Zhang +9

Recent advances in video generative models have enabled high-fidelity, temporally coherent video generation. However, these models often struggle to satisfy prompts requiring speci…

cs.CV2026

The First EgoCross Challenge at EgoVis 2026: Cross-Domain Egocentric Video Question Answering

Yuqian Fu, Tianwen Qian, Yanjun Li +30

EgoCross is a cross-domain egocentric video question answering benchmark designed to evaluate whether multimodal large language models can generalize beyond common daily-life scena…

cs.CV2026

HorizonDrive: Self-Corrective Autoregressive World Model for Long-horizon Driving Simulation

Conglang Zhang, Yifan Zhan, Qingjie Wang +10

Closed-loop driving simulation requires real-time interaction beyond short offline clips, pushing current driving world models toward autoregressive (AR) rollout. Existing AR disti…

cs.CV2026

CineScene: Implicit 3D as Effective Scene Representation for Cinematic Video Generation

Kaiyi Huang, Yukun Huang, Yu Li +8

Cinematic video production requires control over scene-subject composition and camera movement, but live-action shooting remains costly due to the need for constructing physical se…

cs.CV2026

Observing Health Outcomes Using Remote Sensing Imagery and Geo-Context Guided Visual Transformer

Yu Li, Guilherme N. DeSouza, Praveen Rao +1

Visual transformers have driven major progress in remote sensing image analysis, particularly in object detection and segmentation. Recent vision-language and multimodal models fur…

cs.CV2025

AdaViewPlanner: Adapting Video Diffusion Models for Viewpoint Planning in 4D Scenes

Yu Li, Menghan Xia, Gongye Liu +7

Recent Text-to-Video (T2V) models have demonstrated powerful capability in visual simulation of real-world geometry and physical laws, indicating its potential as implicit world mo…

cs.CV2025

SimpleGVR: A Simple Baseline for Latent-Cascaded Video Super-Resolution

Liangbin Xie, Yu Li, Shian Du +7

Latent diffusion models have emerged as a leading paradigm for efficient video generation. However, as user expectations shift toward higher-resolution outputs, relying solely on l…

cs.CV2025

Domain-RAG: Retrieval-Guided Compositional Image Generation for Cross-Domain Few-Shot Object Detection

Yu Li, Xingyu Qiu, Yuqian Fu +8

Cross-Domain Few-Shot Object Detection (CD-FSOD) aims to detect novel objects with only a handful of labeled samples from previously unseen domains. While data augmentation and gen…

cs.CV2025★ 1 cited

Seed1.5-VL Technical Report

Dong Guo, Faming Wu, Feida Zhu +194

We present Seed1.5-VL, a vision-language foundation model designed to advance general-purpose multimodal understanding and reasoning. Seed1.5-VL is composed with a 532M-parameter v…

cs.GR2025

ProReflow: Progressive Reflow with Decomposed Velocity

Lei Ke, Haohang Xu, Xuefei Ning +7

Diffusion models have achieved significant progress in both image and video generation while still suffering from huge computation costs. As an effective solution, flow matching ai…