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Found 5 papers, 1 papers with code
Neuro-Symbolic Evaluation of Text-to-Video Models using Formal Verification
As these models become prevalent, various metrics and benchmarks have emerged to evaluate the quality of the generated videos.
Any2Any: Incomplete Multimodal Retrieval with Conformal Prediction
Autonomous agents perceive and interpret their surroundings by integrating multimodal inputs, such as vision, audio, and LiDAR.
Exploiting Distribution Constraints for Scalable and Efficient Image Retrieval
Addressing efficiency, we introduce Single-shot Similarity Space Distillation ((SS)$_2$D), a novel approach to learn embeddings with adaptive sizes that offers a better trade-off between size and performance.
Towards Neuro-Symbolic Video Understanding
The unprecedented surge in video data production in recent years necessitates efficient tools to extract meaningful frames from videos for downstream tasks.
LIP-Loc: LiDAR Image Pretraining for Cross-Modal Localization
We apply this approach to the domains of 2D image and 3D LiDAR points on the task of cross-modal localization.
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