activity
20182026
most citedA Survey of Deep Learning-based Object Detection

1.3k citations · 1.4k across the 37 of their papers we have counts for

collaborators
Showing 2026Show all

12 papers · 1 filter

cs.CV2026

0.5%>100%: Bidirectional Reciprocal Learning for Referring Image Segmentation

Xiaoqiang Lu, Licheng Jiao, Lingling Li +5

Recent advances in vision foundation models (VFMs) have shown remarkable capabilities across diverse unimodal visual tasks. However, adapting VFMs to referring image segmentation (…

cs.CV2026

DeCo: Efficient Decouple-to-Couple Learning for Multi-Task Visual Grounding

Xiaoqiang Lu, Licheng Jiao, Long Sun +5

Multi-task visual grounding requires models to jointly understand linguistic semantics and perform accurate visual localization and segmentation. Despite the success of multimodal…

cs.CV2026

SeGDeP: Semantic- and Geometric-Aware Decoupled Prompts for Reasoning Segmentation

Linnan Zhao, Xu Liu, Lingling Li +3

Reasoning segmentation converts an implicit linguistic conclusion into a precise mask, requiring both semantic identification and spatial grounding. Existing MLLM-segmenter interfa…

cs.CV2026

Solution for UCF UrbanTwin V2X-Real Track: Sim-to-Real Urban LiDAR 3D Object Detection

Pu Luo, Cong Xu, Yumei Li +4

Bridging the simulation-to-reality gap in roadside LiDAR requires addressing several coupled discrepancies, including scene geometry, sampling density, return patterns, and pedestr…

cs.NE2026

Evolutionary Intelligence for Scientific Discovery: From Evolutionary Computation to Cumulative Discovery Systems

Chao Wang, Lingling Li, Fang Liu +1

Artificial intelligence (AI) is shifting scientific discovery from task-specific workflows towards autonomous systems that organize exploration with experimental and human feedback…

cs.CV2026

ExACT: Exemplar-Driven Calibrated Refinement for Training-Free Visual Grounding in Remote Sensing Images

Zixiao Zhang, Lingling Li, Pei He +2

Remote sensing visual grounding (RSVG) aims to locate specific objects in high-resolution RS imagery using free-form natural language descriptions. While recent advances in multimo…

cs.CV2026

DEVIS-GRPO: Unleashing GRPO on Dynamic Extreme View Synthesis

Yi Zuo, Huimin Wu, Lingling Li +3

Trajectory-controlled video generation has become essential for controllable video generation. While current methods perform well under small-view camera motions, they degrade sign…

cs.CV2026

LoViF 2026 The First Challenge on Holistic Quality Assessment for 4D World Model (PhyScore)

Wei Luo, Yiting Lu, Xin Li +32

This paper reports on the LoViF 2026 PhyScore challenge, a competition on holistic quality assessment of world-model-generated videos across both 2D and 4D generation settings. The…

cs.CV2026

4th Workshop on Maritime Computer Vision (MaCVi): Challenge Overview

Benjamin Kiefer, Jan Lukas Augustin, Jon Muhovič +52

The 4th Workshop on Maritime Computer Vision (MaCVi) is organized as part of CVPR 2026. This edition features five benchmark challenges with emphasis on both predictive accuracy an…

cs.AI2026

Delving Aleatoric Uncertainty in Medical Image Segmentation via Vision Foundation Models

Ruiyang Li, Fang Liu, Licheng Jiao +8

Medical image segmentation supports clinical workflows by precisely delineating anatomical structures and lesions. However, medical image datasets medical image datasets suffer fro…

cs.CV2026

STVG-R1: Incentivizing Instance-Level Reasoning and Grounding in Videos via Reinforcement Learning

Xiaowen Zhang, Zhi Gao, Licheng Jiao +2

In vision-language models (VLMs), misalignment between textual descriptions and visual coordinates often induces hallucinations. This issue becomes particularly severe in dense pre…

cs.NE2026

Task-free Adaptive Meta Black-box Optimization

Chao Wang, Licheng Jiao, Lingling Li +4

Handcrafted optimizers become prohibitively inefficient for complex black-box optimization (BBO) tasks. MetaBBO addresses this challenge by meta-learning to automatically configure…