:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Alawieh, Ali, Condurache, Alexandru P.
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition
Online Access:	https://arxiv.org/abs/2505.04485
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

KPConvX: Modernizing Kernel Point Convolution with Kernel Attention
by: Thomas, Hugues, et al.
Published: (2024)

FLARES: Fast and Accurate LiDAR Multi-Range Semantic Segmentation
by: Yang, Bin, et al.
Published: (2025)

Collaborative Learning for Semi-Supervised LiDAR Semantic Segmentation
by: Yang, Bin, et al.
Published: (2026)

LaneCPP: Continuous 3D Lane Detection using Physical Priors
by: Pittner, Maximilian, et al.
Published: (2024)

Efficient Data Driven Mixture-of-Expert Extraction from Trained Networks
by: Berisha, Uranik, et al.
Published: (2025)

PROM: Prioritize Reduction of Multiplications Over Lower Bit-Widths for Efficient CNNs
by: Meiner, Lukas, et al.
Published: (2025)

Variance-Based Pruning for Accelerating and Compressing Trained Networks
by: Berisha, Uranik, et al.
Published: (2025)

Data-Free Dynamic Compression of CNNs for Tractable Efficiency
by: Meiner, Lukas, et al.
Published: (2023)

SparseLaneSTP: Leveraging Spatio-Temporal Priors with Sparse Transformers for 3D Lane Detection
by: Pittner, Maximilian, et al.
Published: (2026)

Towards Foundation Models for 3D Scene Understanding: Instance-Aware Self-Supervised Learning for Point Clouds
by: Yang, Bin, et al.
Published: (2026)

Learning Through Retrospection: Improving Trajectory Prediction for Automated Driving with Error Feedback
by: Hagedorn, Steffen, et al.
Published: (2025)

PseudoMapTrainer: Learning Online Mapping without HD Maps
by: Löwens, Christian, et al.
Published: (2025)

Unsupervised Point Cloud Registration with Self-Distillation
by: Löwens, Christian, et al.
Published: (2024)

The Integration of Prediction and Planning in Deep Learning Automated Driving Systems: A Review
by: Hagedorn, Steffen, et al.
Published: (2023)

G3FA: Geometry-guided GAN for Face Animation
by: Javanmardi, Alireza, et al.
Published: (2024)

IncreFA: Breaking the Static Wall of Generative Model Attribution
by: Qin, Haotian, et al.
Published: (2026)

FA-BARF: Frequency Adapted Bundle-Adjusting Neural Radiance Fields
by: Qian, Rui, et al.
Published: (2025)

CamoFA: A Learnable Fourier-based Augmentation for Camouflage Segmentation
by: Le, Minh-Quan, et al.
Published: (2023)

Thinking with Frames: Generative Video Distortion Evaluation via Frame Reward Model
by: Wang, Yuan, et al.
Published: (2026)

Revisiting the Evaluation Bias Introduced by Frame Sampling Strategies in Surgical Video Segmentation Using SAM2
by: Ozbulak, Utku, et al.
Published: (2025)

FA: Forced Prompt Learning of Vision-Language Models for Out-of-Distribution Detection
by: Lu, Xinhua, et al.
Published: (2025)

FA-Depth: Toward Fast and Accurate Self-supervised Monocular Depth Estimation
by: Wang, Fei, et al.
Published: (2024)

LLaVA-FA: Learning Fourier Approximation for Compressing Large Multimodal Models
by: Zheng, Pengcheng, et al.
Published: (2026)

FrameThinker: Learning to Think with Long Videos via Multi-Turn Frame Spotlighting
by: He, Zefeng, et al.
Published: (2025)

Chain-of-Frames: Advancing Video Understanding in Multimodal LLMs via Frame-Aware Reasoning
by: Ghazanfari, Sara, et al.
Published: (2025)

FA-Seg: A Fast and Accurate Diffusion-Based Method for Open-Vocabulary Segmentation
by: Che, Huy, et al.
Published: (2025)

LoFA: Learning to Predict Personalized Priors for Fast Adaptation of Visual Generative Models
by: Hao, Yiming, et al.
Published: (2025)

Interior Object Geometry via Fitted Frames
by: Pizer, Stephen M., et al.
Published: (2024)

Enhancing Small Object Encoding in Deep Neural Networks: Introducing Fast&Focused-Net with Volume-wise Dot Product Layer
by: Tofik, Ali, et al.
Published: (2024)

Harnessing Meta-Learning for Improving Full-Frame Video Stabilization
by: Ali, Muhammad Kashif, et al.
Published: (2024)

Moment and Highlight Detection via MLLM Frame Segmentation
by: Jiwanta, I Putu Andika Bagas, et al.
Published: (2025)

A Rapid GeoSAM-Based Workflow for Multi-Temporal Glacier Delineation: Case Study from Svalbard
by: Hegyi, Alexandru
Published: (2025)

Beyond the Frame: Generating 360 Panoramic Videos from Perspective Videos
by: Luo, Rundong, et al.
Published: (2025)

FrameDiffuser: G-Buffer-Conditioned Diffusion for Neural Forward Frame Rendering
by: Beisswenger, Ole, et al.
Published: (2025)

FrameMind: Frame-Interleaved Video Reasoning via Reinforcement Learning
by: Ge, Haonan, et al.
Published: (2025)

AesFA: An Aesthetic Feature-Aware Arbitrary Neural Style Transfer
by: Kwon, Joonwoo, et al.
Published: (2023)

WATT: Weight Average Test-Time Adaptation of CLIP
by: Osowiechi, David, et al.
Published: (2024)

Perception-Oriented Video Frame Interpolation via Asymmetric Blending
by: Wu, Guangyang, et al.
Published: (2024)

Frame by Familiar Frame: Understanding Replication in Video Diffusion Models
by: Rahman, Aimon, et al.
Published: (2024)

Tinted Frames: Question Framing Blinds Vision-Language Models
by: Fan, Wan-Cyuan, et al.
Published: (2026)