11 citations · 37 across the 32 of their papers we have counts for
19 papers · 1 filter
The circle packing and Riemann uniformization embedding of the mated-CRT map converges to Liouville quantum gravity
Nina Holden, Pu Yu
We prove that the mated-CRT map converges to Liouville quantum gravity under circle packing and the Riemann uniformization embedding. The proof is based on our recent work on circl…
Physics-Informed Neural Plasticity: PDE Solvers That Reshape Themselves
Chun-Wun Cheng, Bingcheng Hu, Angelica I. Aviles-Rivero
Physics-informed neural PDE solvers adapt their parameters to satisfy governing equations, yet their representational structure typically remains fixed throughout training. This ri…
ClearGS: Reliability-Aware Gaussian Splatting from Handheld Videos
Xuanzhi Liu, Xinyi Wu, Hang Pan +4
We present ClearGS for 3D Gaussian Splatting (3DGS) from handheld videos with uneven viewpoint coverage and mixed frame quality. Rather than selecting frames with binary decisions,…
Spackle: Completing Large View Single Image NVS with Adaptive Gaussians
Xuanzhi Liu, Yuhe Zhou, Xinyi Wu +4
Single-image novel view synthesis (NVS) enables photorealistic rendering of un- observed viewpoints from a single input. Practical NVS systems require two key capabilities: robust…
MLLMs Hallucinate when Information Distribution Drifts in Synergy Heads
Meng'en Qin, Junye Chen, Jucheng Liu +4
Multimodal Large Language Models (MLLMs) often struggle with hallucinations, thus hindering their reliable practical applications. Existing attention-based mitigation methods mainl…
CD-RMOT-Bench: Benchmarking the Cross-Domain Referring Multi-Object Tracking
Xiangqun Zhang, Likai Wang, Zekun Qian +2
Referring multi-object tracking (RMOT) extends tracking from category-driven perception to language-guided understanding by grounding object trajectories in natural-language expres…
Beyond Appearance: A Multi-cue Framework and Large-scale Benchmark for Pedestrian Association and Tracking on Mobile Aerial-Ground Platforms
Ruiqi Wu, Bingliang Jiao, Ruize Han +6
Multi-view Multi-object Association and Tracking (MvMoAT) associates objects across camera views and tracks them over time, supporting identity persistence and forensic trajectory…
Are All Tokens Necessary for Visual Place Recognition? An Empirical Study of Token Reduction for Efficient Inference
Tong Jin, Yunpeng Liu, Shuyu Hu +4
Recent visual place recognition (VPR) methods based on vision transformers, particularly foundation models, have achieved remarkable recognition performance. However, these models…
Timage: A Generative Text-in-Image Paradigm for Fine-Tuning Vision-Language Models
Yifeng Wu, Huimin Huang, Ruiluo Wu +5
Multimodal Large Language Models (MLLMs) often lose track of the right image regions during fine-grained spatial reasoning, because a textual query rarely carries any explicit geom…
IMWM: Intuition Models Complement World Models for Latent Planning
Baoqi Gao, Ruize Han, Miao Wang +1
Planning with a learned latent world model is a promising route to control from raw pixels, but a strong world model alone is not enough. We show this experimentally: even with a p…
LV-OSD: Language-Vision-Complementary Open-Set Object Detection
Yupeng Zhang, Ruize Han, Wei Feng +2
Object detection is an important task in computer vision, which aims to detect the objects of interest. through the given category list or query images. In this work, we propose a…
COVD: Continual Open-Vocabulary Object Detection with Novel Concept Injection
Yupeng Zhang, Ruize Han, Yuzhong Feng +3
Open-vocabulary object detection (OVD) has made significant progress, enabling detectors to generalize from seen to unseen categories. However, real-world category spaces continual…
VFMSDG: Unveiling the Power of VFMs for Single-Domain Generalized Object Detection
Yupeng Zhang, Ruize Han, Ningnan Guo +3
Real-world weather, illumination, and imaging variations often induce severe domain shifts, degrading single-source detectors in unseen environments. Existing single-domain general…
The First Challenge on Remote Sensing Infrared Image Super-Resolution at NTIRE 2026: Benchmark Results and Method Overview
Kai Liu, Haoyang Yue, Zeli Lin +65
This paper presents the NTIRE 2026 Remote Sensing Infrared Image Super-Resolution (x4) Challenge, one of the associated challenges of NTIRE 2026. The challenge aims to recover high…
The Fourth Challenge on Image Super-Resolution (4) at NTIRE 2026: Benchmark Results and Method Overview
Zheng Chen, Kai Liu, Jingkai Wang +150
This paper presents the NTIRE 2026 image super-resolution (4) challenge, one of the associated competitions of the NTIRE 2026 Workshop at CVPR 2026. The challenge aims to r…
Online Reasoning Video Object Segmentation
Jinyuan Liu, Yang Wang, Zeyu Zhao +3
Reasoning video object segmentation predicts pixel-level masks in videos from natural-language queries that may involve implicit and temporally grounded references. However, existi…
BoxTuning: Directly Injecting the Object Box for Multimodal Model Fine-Tuning
Zekun Qian, Ruize Han, Wei Feng
Object-level spatial-temporal understanding is essential for video question answering, yet existing multimodal large language models (MLLMs) encode frames holistically and lack exp…
NoOVD: Novel Category Discovery and Embedding for Open-Vocabulary Object Detection
Yupeng Zhang, Ruize Han, Zhiwei Chen +2
Despite the remarkable progress in open-vocabulary object detection (OVD), a significant gap remains between the training and testing phases. During training, the RPN and RoI heads…
COVTrack++: Learning Open-Vocabulary Multi-Object Tracking from Continuous Videos via a Synergistic Paradigm
Zekun Qian, Wei Feng, Ruize Han +1
Multi-Object Tracking (MOT) has traditionally focused on a few specific categories, restricting its applicability to real-world scenarios involving diverse objects. Open-Vocabulary…