activity
20212026
most citedSAM2-UNet: Segment Anything 2 Makes Strong Encoder for Natural and Medical Image Segmentation

85 citations · 273 across the 108 of their papers we have counts for

collaborators

118 papers

cs.CV2026

SPOON: Towards Coherent Compositional 3D Scene Generation from Uncalibrated Multi-view Images

Guibiao Liao, Mochu Xiang, Heng Li +6

Compositional 3D scene generation aims to recover complete 3D object shapes and their spatial arrangement from visual observations. Recent image-conditioned 3D generators provide s…

cs.CV2026

SpatialDiff: 3D-Aware Object Movement via Implicit Spatial Modeling

Zheng Liu, Zijian He, Huiguo He +5

Recent advances in image editing allow impressive manipulation of objects, existing methods still struggle to handle spatial movement in complex scenes, such as objects span differ…

cs.AI2026

Auditable agentic AI for evidence-grounded thyroid ultrasound diagnosis and reporting

Haifan Gong, Shiyu Chen, Bodong Wang +11

Thyroid ultrasound diagnosis requires coordinated lesion localization, measurement, risk stratification and reporting, yet most AI systems address these tasks in isolation and prov…

cs.AI2026

SCOUT: Self-Checking and Recovery-Aware Tool-Thought Agents for Ultra-Long Egocentric Video Reasoning

Keyang Zhong, Kuo Wang, Peng Liu +5

Ultra-long egocentric video understanding requires reasoning over temporally sparse evidence distributed across hours or days, challenging current multimodal models with limited co…

cs.CV2026

MoRoute: Dynamic Routing for In-Context Multimodal Video Generation

Chong Gao, Jie Ma, Zhan Peng +5

Multimodal video generation aims to generate and edit videos conditioned on arbitrary combinations of text, images, and videos within a single model, allowing diverse tasks to shar…

cs.CV2026

AdaAnchor4D: Anchor-Conditioned Spatiotemporal Feature Aggregation for Monocular UAV 4D Reconstruction

Peiyi Xu, Junpeng Zhang, Guanbin Li +6

Monocular UAV videos provide valuable observations for dynamic reconstruction of complex urban scenes. However, such scenes exhibit pronounced spatiotemporal heterogeneity: differe…

cs.CV2026

ARDepth: Auto-regressive Monocular Depth Estimation with Progressive Visual Conditioning

Zijie Wang, Wei Zhang, Weiming Zhang +4

Diffusion models have recently become the dominant paradigm for monocular depth estimation (MDE). However, they implicitly assume that depth can be recovered as a globally smooth f…

cs.CV2026

PhyScene3D: Physically Consistent Interactive 3D Tabletop Scene Generation

Weixing Chen, Zhuoqian Feng, Yang Liu +6

Generating physically consistent 3D tabletop scenes is a fundamental yet underexplored problem for interactive and generalist robotic learning. The challenge stems from dense objec…

cs.CV2026

Non-Forgetting Knowledge Allocation with Bi-level Competition for Class-Incremental Learning

Xiang Tan, Run He, Yawen Cui +6

Class-Incremental Learning (CIL) with pre-trained models (PTMs) aims to sequentially adapt PTMs to new categories without forgetting old knowledge. Built upon PTMs, existing adapte…

cs.CV2026

Self-Prophetic Decoding to Unlock Visual Search in LVLMs

Zhendong He, Qiyuan Dai, Guanbin Li +2

Large Vision-Language Models (LVLMs) are rapidly evolving toward true multimodal reasoning, with visual search representing a concrete instantiation of the thinking-with-images par…

cs.CV2026

SP-MoMamba: Superpixel-driven Mixture of State Space Experts for Efficient Image Super-Resolution

Wenbin Zou, Yawen Cui, Yi Wang +5

State space models (SSMs) have emerged as an efficient paradigm for single-image super-resolution (SR) due to their linear complexity and long-range modeling capabilities. However,…

cs.CV2026

World Models as Group Actions

Zijie Wang, Wei Zhang, Weiming Zhang +4

Video world models have achieved strong visual realism, but this does not ensure that their dynamics are truly governed by actions. In this work, we argue that action faithfulness…

cs.CV2026

LookasideVLN: Direction-Aware Aerial Vision-and-Language Navigation

Yuwei Ning, Ganlong Zhao, Yipeng Qin +4

Aerial Vision-and-Language Navigation (Aerial VLN) enables unmanned aerial vehicles (UAVs) to follow natural language instructions and navigate complex urban environments. While re…

cs.CV2026

OptiMVMap: Offline Vectorized Map Construction via Optimal Multi-vehicle Perspectives

Zedong Dan, Zijie Wang, Wei Zhang +6

Offline vectorized maps constitute critical infrastructure for high-precision autonomous driving and mapping services. Existing approaches rely predominantly on single ego-vehicle…

cs.CV2026

OASIS: On-Demand Hierarchical Event Memory for Streaming Video Reasoning

Zhijia Liang, Jiaming Li, Weikai Chen +3

Streaming video reasoning requires models to operate in a setting where history grows without bound while meaningful evidence remains scarce. In such a landscape, relevant signal i…

cs.LG2026

Feature-Label Modal Alignment for Robust Partial Multi-Label Learning

Yu Chen, Weijun Lv, Yue Huang +4

In partial multi-label learning (PML), each instance is associated with a set of candidate labels containing both ground-truth and noisy labels. The presence of noisy labels disrup…

cs.CV2026

SDesc3D: Towards Layout-Aware 3D Indoor Scene Generation from Short Descriptions

Jie Feng, Jiawei Shen, Junjia Huang +4

3D indoor scene generation conditioned on short textual descriptions provides a promising avenue for interactive 3D environment construction without the need for labor-intensive la…

cs.CV2026

Are VLMs Lost Between Sky and Space? LinkSBench for UAV-Satellite Dynamic Cross-View Spatial Intelligence

Dian Liu, Jie Feng, Di Li +4

Synergistic spatial intelligence between UAVs and satellites is indispensable for emergency response and security operations, as it uniquely integrates macro-scale global coverage…

cs.CV2026

Resonance4D: Frequency-Domain Motion Supervision for Preset-Free Physical Parameter Learning in 4D Dynamic Physical Scene Simulation

Changshe Zhang, Jie Feng, Siyu Chen +3

Physics-driven 4D dynamic simulation from static 3D scenes remains constrained by an overlooked contradiction: reliable motion supervision often relies on online video diffusion or…

cs.CV2026

A3R: Agentic Affordance Reasoning via Cross-Dimensional Evidence in 3D Gaussian Scenes

Di Li, Jie Feng, Guanbin Li +4

Affordance reasoning in 3D Gaussian scenes aims to identify the region that supports the action specified by a given text instruction in complex environments. Existing methods typi…

cs.CV2026

DreamShot: Personalized Storyboard Synthesis with Video Diffusion Prior

Junjia Huang, Binbin Yang, Pengxiang Yan +6

Storyboard synthesis plays a crucial role in visual storytelling, aiming to generate coherent shot sequences that visually narrate cinematic events with consistent characters, scen…

cs.AI2026

Collaborative Multi-Agent Scripts Generation for Enhancing Imperfect-Information Reasoning in Murder Mystery Games

Keyang Zhong, Junlin Xie, Hefeng Wu +2

Vision-language models (VLMs) have shown impressive capabilities in perceptual tasks, yet they degrade in complex multi-hop reasoning under multiplayer game settings with imperfect…

cs.CV2026

Project Imaging-X: A Survey of 1000+ Open-Access Medical Imaging Datasets for Foundation Model Development

Zhongying Deng, Cheng Tang, Ziyan Huang +124

Foundation models have demonstrated remarkable success across diverse domains and tasks, primarily due to the thrive of large-scale, diverse, and high-quality datasets. However, in…

cs.CV2026

GUIDED: Granular Understanding via Identification, Detection, and Discrimination for Fine-Grained Open-Vocabulary Object Detection

Jiaming Li, Zhijia Liang, Weikai Chen +2

Fine-grained open-vocabulary object detection (FG-OVD) aims to detect novel object categories described by attribute-rich texts. While existing open-vocabulary detectors show promi…