1 citations · 1 across the 11 of their papers we have counts for
13 papers
Beyond Relevance: Structured Semantic Supervision for Product Search with LLM-Augmented Annotations
Girish A. Koushik, Swapnil Bhosale, Samarth Agrawal +4
E-commerce search requires distinguishing products that are merely related to a query from those that directly satisfy the user's shopping intent. We augment query-product pairs wi…
MeshSuite: A Unified Benchmark for Triangle- and Mesh-Based Neural Rendering
Kaixuan Zhang, Minxian Li, Mingwu Ren +1
Triangle- and mesh-based neural rendering seeks to bridge neural representations and graphics engines through triangle primitives compatible with standard rasterization. Yet existi…
Free-Text Evaluation of LLMs for 5G Domain Knowledge and Fault Analysis using LLM-as-Judge
Rishiraj Sengupta, Sotiris Chatzimiltis, Mohammad Shojafar +1
Real-world fault analysis in 5G and emerging 6G networks demands domain expertise to analyze free-text diagnostics, including root-cause explanations and recommended actions. LLMs…
MERGETUNE: Continued Fine-Tuning of Vision-Language Models
Wenqing Wang, Da Li, Xiatian Zhu +1
Fine-tuning vision-language models (VLMs) such as CLIP often leads to catastrophic forgetting of pretrained knowledge. Prior work primarily aims to mitigate forgetting during adapt…
RAID: Retrieval-Augmented Anomaly Detection
Mingxiu Cai, Zhe Zhang, Gaochang Wu +2
Unsupervised Anomaly Detection (UAD) aims to identify abnormal regions by establishing correspondences between test images and normal templates. Existing methods primarily rely on…
Edge-ANN: Storage-Efficient Edge-Based Remote Sensing Feature Retrieval
Xianwei Lv, Debin Tang, Zhecheng Shi +3
Meeting real-time constraints for high-performance Approximate Nearest Neighbor (ANN) search remains a critical challenge in remote sensing edge devices, which are essentially fusi…
High Dynamic Range 3D Gaussian Splatting via Luminance-Chromaticity Decomposition
Kaixuan Zhang, Minxian Li, Mingwu Ren +2
High Dynamic Range (HDR) 3D reconstruction is pivotal for professional content creation in filmmaking and virtual production. Existing methods typically rely on multi-exposure Low…
More Than A Shortcut: A Hyperbolic Approach To Early-Exit Networks
Swapnil Bhosale, Cosmin Frateanu, Camilla Clark +7
Deploying accurate event detection on resource-constrained devices is challenged by the trade-off between performance and computational cost. While Early-Exit (EE) networks offer a…
Unified Unsupervised Anomaly Detection via Matching Cost Filtering
Zhe Zhang, Mingxiu Cai, Gaochang Wu +5
Unsupervised anomaly detection (UAD) aims to identify image- and pixel-level anomalies using only normal training data, with wide applications such as industrial inspection and med…
VimoRAG: Video-based Retrieval-augmented 3D Motion Generation for Motion Language Models
Haidong Xu, Guangwei Xu, Zhedong Zheng +7
This paper introduces VimoRAG, a novel video-based retrieval-augmented motion generation framework for motion large language models (LLMs). As motion LLMs face severe out-of-domain…
CostFilter-AD: Enhancing Anomaly Detection through Matching Cost Filtering
Zhe Zhang, Mingxiu Cai, Hanxiao Wang +3
Unsupervised anomaly detection (UAD) seeks to localize the anomaly mask of an input image with respect to normal samples. Either by reconstructing normal counterparts (reconstructi…
KANs for Computer Vision: An Experimental Study
Karthik Mohan, Hanxiao Wang, Xiatian Zhu
This paper presents an experimental study of Kolmogorov-Arnold Networks (KANs) applied to computer vision tasks, particularly image classification. KANs introduce learnable activat…
Vision-language Assisted Attribute Learning
Kongming Liang, Xinran Wang, Rui Wang +6
Attribute labeling at large scale is typically incomplete and partial, posing significant challenges to model optimization. Existing attribute learning methods often treat the miss…