LVMT: Video Mask Transformer for Long-term Video Segmentation

LVMT introduces a GRU-based propagation module and truncated query propagation training to achieve state-of-the-art long-term video segmentation at 10x faster speeds.

Narges Norouzi, Niccolò Cavagnero, Idil Esen Zulfikar, Bastian Leibe and 2 more

Published Sep 28, 2026 · 0 citations · ▲ 17 on Hugging Face · Code ★ 9

Unsupervised Domain Adaptation for Semantic Segmentation Based on Instance Spatial Geometry

Binglin Hao, Huajun Liu

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

Beyond [SEG] Tokens: Training-Free Video Reasoning Segmentation via Counterfactual Inference and Contrastive Concept

Tianlu Zhang, guiguang ding, Jungong Han

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

A probabilistic model of visual segmentation explains early visual cortical dynamics

Tridib K. Biswas, Ruben Coen-Cagli

Paris Poster Session 6, Fri, Dec 11, 2:30 PM–4:30 PM, Paris Poster Hall · Published 2026

Efficient SAM 3 Adaptation for Multi-Class Semantic Segmentation via Dense Competitive Representations

Wenbin Liao, Hao Zhu, Yike Ma, Hao Jiang and 1 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

Cyclic Discrete Diffusion: A Novel Multi-Class Segmentation Refinement Technique

LIBO CHEN, Souvik Ghosh, Vinay Namboodiri

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

PLACE: Patch-Level Agnostic Concept Extraction

Gabriele Onorato, Fabrizio Silvestri, Nathaniel D Bastian, Francesco Restuccia

Atlanta Poster Session 4, Thu, Dec 10, 4:30 PM–7:30 PM, Hall C1 · Published 2026

Static-to-Dynamic: Animating Still Mattes via Generative Motion for Video Matting

Suqi Song, Jiaqi Xu, Jialuo He, Renjing Pei and 2 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

PARI: Policy-Driven Active Residual Intervention for Weakly Supervised Point Cloud Segmentation

Wenhao Gao, Sen Tao, Jiawei Liu, Jiwei Feng and 6 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

Beyond Token Representations: Explicit Visual Object Grounding for Video Reasoning Segmentation

Jun Huang, zhangjunyang, Zijie Yue, Bingkun Wang and 2 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

When Trackers Fail: VLM-Guided Verification and Recovery for Robust Video Object Segmentation

Valay Mahesh Bundele, Susmit Agrawal, Mehran Hosseinzadeh, The Nam Nguyen and 1 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

MonoChunk3D: Monocular Online 3D Instance Segmentation with Persistent Instance States

Yibo Zhao, Jingzhi Zhou, Yigong Zhang, Jian Yang and 1 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

BrainEM: A Large-Scale and Diverse Benchmark for EM Neuron Segmentation in Connectomics

Zhenghua Li, Lanyue Zhang, Zekang Yang, Kai Li and 3 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

Panoptic Saliency Ranking

Zhenyu Wu, Min Li, Chong Ma, Xun Gong and 4 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

DIGS: Distribution-Informed Gaussian Splatting for Training-Free Open-Vocabulary 3D Segmentation

ZHIFAN ZENG, Wenbo Xiao, Arcot Sowmya, Changming Sun

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

$\text{PartConcepts}$: A Unified Mechanism for Fine-Grained Part Localization and Generation

Vaibhav Agrawal, Varghese P Kuruvilla, Harsh Rangwani, Ravi Kiran Sarvadevabhatla

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

$\textbf{EchMo}$: End-to-End Radar Echo Segmentation

Liwen Zhang, Xinying Fu, Youcheng Zhang, ZijunHu and 4 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

Learning Semantic Consistency for Open-Vocabulary Dense Perception

Li Ding, Junjie Wang, Jingjun Yang, Jiaze Wang and 3 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

Improving Continual Video Instance Segmentation via Spatial-Temporal Balanced Mixture-of-Experts Adapters

Hao Fu, Sihao Liu, Hanbin Zhao, Jiahua Dong and 2 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

TerraMesh-Masks: Open‑Vocabulary Segmentation for Earth Observation

Benedikt Blumenstiel, Hugues Devimeux, Johannes Jakubik, Konrad Schindler

Paris Poster Session 2, Wed, Dec 9, 5:00 PM–7:00 PM, Paris Poster Hall · Published 2026

TopoRefine: Plug-and-Play Topology-Aware Contour Refinement for Building Segmentation

Yunhui Zhu, Buliao Huang

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

Variational Wasserstein Model on Riemannian Manifolds for Image Segmentation

Jisui Huang, Yue Wu, Ke Chen, Na Lei

Atlanta Poster Session 2, Wed, Dec 9, 4:30 PM–7:30 PM, Hall C1 · Published 2026

$\mathbf{D^{3}S^{2}}$: Diffusion-Guided Dataset Distillation for Semantic Segmentation

Wenjie Zheng, Haoji Hu, Jiali Lu, Xingze Zou and 1 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

Relational Feature Distillation for Lightweight 3D Point Cloud Segmentation

Mohammad Saeid, Amir Salarpour, Pedram MohajerAnsari, Mert D Pesé

Atlanta Poster Session 5, Fri, Dec 11, 10:00 AM–1:00 PM, Hall C1 · Published 2026

Predicting Nothing Beats SAM 3: Revisiting Evaluation in Video Object Segmentation

Jihwan Hong, Woohyeon Park, Jaeik Kim, Jaeyoung Do

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

Image Matting without Matting-Specific Annotations via Eikonal Fields

Tao Huang, Yi Wang, Xiaohong Zhang, Wei Zhang and 3 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

UniFunc3D: Unified Active Spatial-Temporal Grounding for 3D Affordance Segmentation

Jiaying Lin, Dan Xu

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

Improved Weakly Supervised Semantic Segmentation with A Relationally Optimized Prototype Memory Bank Framework

Xiang Zhong, Qiudan Zhang, Jianmin Jiang

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

EviSAM3: Evidence-Driven SAM3 for Referring Remote Sensing Image Segmentation

Yuhang Duan, Xiaoshuai Wu, Chengqi Zhang, Jincheng Lu and 2 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

Beyond Pixel-wise Supervision: Local Structure Regularization for Semantic Segmentation

Wei Huang, Chenying Liu, Yilei Shi, Zhitong Xiong and 1 more

Paris Poster Session 6, Fri, Dec 11, 2:30 PM–4:30 PM, Paris Poster Hall · Published 2026

The Mask Is Not the Object: Volumetric Supervision for 3D Gaussian Segmentation

Jeonghwan Cho, Minsu Kim, Junyoung Hong, Seon Joo Kim

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

VideoMaMa++: Temporally Consistent Video Matting via Preserve-and-Refine Tokens

Sangbeom Lim, Seoung Wug Oh, Heeji Yoon, Seungryong Kim and 1 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

S2D: Sparse-To-Dense Keymask Distillation for Unsupervised Video Instance Segmentation

S2D uses keymask distillation with temporal drop loss to propagate sparse high-quality pseudo-masks across real videos, outperforming synthetic-data methods in unsupervised video instance segmentation.

Leon Sick, Lukas Hoyer, Dominik Engel, Pedro Hermosilla and 1 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · ▲ 1 on Hugging Face · Code ★ 2

AdapToPASS: Ambiguity-aware Adaptive Spherical Transformer for Panoramic Semantic Segmentation

AdapToPASS is a bio-inspired spherical transformer that adaptively models contextual and geometric ambiguities to achieve robust panoramic semantic segmentation, outperforming state-of-the-art methods by up to 18.77% relative mIoU under unseen spherical transformations.

Soumyaratna Debnath, weiming zhang, Shriram Damodaran, Dingwen Xiao and 1 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

COCOTree: A Dataset and Benchmark for Open Tree-Structured Visual Decomposition

COCOTree introduces open tree-structured visual decomposition via automated LVLM-SAM annotation, a 21K-image benchmark, and the OTQ metric.

Junhyub Lee, Seunghun Chae, Hyosu Kim

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

Rethinking Vector Field Learning for Generative Segmentation

Flow matching for generative segmentation suffers gradient vanishing and trajectory traversing, causing slow convergence and poor class separation; reshaping the velocity field with distance-aware corrections and Kronecker-based category encoding narrows the gap with discriminative specialists.

Chaoyang Wang, Yaobo Liang, Boci Peng, Fan Duan and 1 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

Towards Visual Query Segmentation in the Wild

Visual query segmentation segments all pixel-level object occurrences in untrimmed videos via external visual queries, and the VQS-4K benchmark with VQ-SAM advances this new paradigm.

Bing Fan, Minghao Li, Hanzhi Zhang, Shaohua Dong and 6 more

Atlanta Poster Session 5, Fri, Dec 11, 10:00 AM–1:00 PM, Hall C1 · Published 2026

SIGMA: Semantic-Difference Instruction-Grounding Mask Annotator for Text-Driven Image Manipulation Localization

SIGMA uses semantic feature differencing with instruction-guided spatial priors to generate manipulation masks from edited images, producing a 1.1M training set that improves detectors by +18.34% F1.

Peiyu Zhuang, Jianquan Yang, Haodong Li, Zhuoying Cai and 5 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

MITO: A Millimeter-Wave Dataset and Simulator for Non-Line-of-Sight Perception

MITO introduces millimeter-wave dataset with synthetic aperture imaging and simulator for non-line-of-sight object segmentation and classification.

Tara Boroushaki, Laura Dodds, Cusuh Ham, Fadel Adib

Atlanta Poster Session 1, Wed, Dec 9, 10:00 AM–1:00 PM, Hall C1 · Published 2026

Less Supervision, Better Generalization: Weakly Supervised Fake Region Localization in Diffusion-Edited Images

ReGFLoW localizes diffusion-edited fake regions with only image-level labels by guiding feature and score spaces with diffusion reconstruction errors via artifact-centric multiple instance learning, outperforming fully supervised cross-dataset and cross-generator baselines without target adaptation.

Junhee Lee, JeonDongHyeon, Taeoh Kim, beomYoung Kim and 1 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

Preference-Guided Adaptation for Open-Vocabulary Semantic Segmentation via Prompt Disagreement

A preference-guided framework adapts open-vocabulary segmentation using prompt disagreement as binary supervision, yielding consistent benchmark gains without pixel-level masks.

Hyun-Kurl Jang, Jihun Kim, Kuk-Jin Yoon

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026 · ▲ 6 on Hugging Face · Code ★ 4

ConnectomeBench2: A Unified Benchmark for Automated Connectomic Proofreading

ConnectomeBench2 unifies multi-species connectomic proofreading data, and a vision transformer trained on it achieves human-level split and merge error correction across species.

Jeff Brown, Tim Farkas, Gleb Razgar, Edward Boyden

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

Prompting Diffusion Models for Zero-Shot Instance Segmentation

Prompt2Seg conditions frozen diffusion segmentation models on spatial prompts for zero-shot interactive instance segmentation across diverse visual domains.

İrem Z Alagöz, Nils Morbitzer, Andrea Ramazzina, Nassir Navab and 2 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

GMOS: Grounding Moving Object Segmentation in 3D Space and Time

GMOS grounds moving object segmentation in 3D space and time using an RGB video framework, achieving state-of-the-art results across MOS benchmarks with faster online inference.

Junyu Xie, Tengda Han, Weidi Xie, Andrew Zisserman

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

When Noise Meets Long-Tail: Feature-Threshold Dual Calibration for Robust Pseudo-Labeling

FTC-Seg uses orthogonal prototype reconstruction and adaptive threshold calibration to break pseudo-label degradation cycles between imaging noise and long-tail class imbalance in semi-supervised semantic segmentation.

Ping Guo, Zhiqi Huang, Xinran Li

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026