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cs.CV2025
VideoPCDNet: Video Parsing and Prediction with Phase Correlation Networks
Noel José Rodrigues Vicente, Enrique Lehner, Angel Villar-Corrales +2
Understanding and predicting video content is essential for planning and reasoning in dynamic environments. Despite advancements, unsupervised learning of object representations an…
cs.CV2025★ 2 cited
Leveraging Vision-Language Models for Open-Vocabulary Instance Segmentation and Tracking
Bastian Pätzold, Jan Nogga, Sven Behnke
Vision-language models (VLMs) excel in visual understanding but often lack reliable grounding capabilities and actionable inference rates. Integrating them with open-vocabulary obj…