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Found 6 papers, 2 papers with code
Symbol-LLM: Leverage Language Models for Symbolic System in Visual Human Activity Reasoning
One possible path of activity reasoning is building a symbolic system composed of symbols and rules, where one rule connects multiple symbols, implying human knowledge and reasoning abilities.
Stimulus Verification Is a Universal and Effective Sampler in Multi-Modal Human Trajectory Prediction
To comprehensively cover the uncertainty of the future, the common practice of multi-modal human trajectory prediction is to first generate a set/distribution of candidate future trajectories and then sample required numbers of trajectories from them as final predictions.
Human Trajectory Prediction With Momentary Observation
Human trajectory prediction task aims to analyze human future movements given their past status, which is a crucial step for many autonomous systems such as self-driving cars and social robots.
Three Steps to Multimodal Trajectory Prediction: Modality Clustering, Classification and Synthesis
Multimodal prediction results are essential for trajectory prediction task as there is no single correct answer for the future.
Recursive Social Behavior Graph for Trajectory Prediction
Social interaction is an important topic in human trajectory prediction to generate plausible paths.
InstaBoost: Boosting Instance Segmentation via Probability Map Guided Copy-Pasting
With the guidance of such map, we boost the performance of R101-Mask R-CNN on instance segmentation from 35. 7 mAP to 37. 9 mAP without modifying the backbone or network structure.
Ranked #78 on
Instance Segmentation
on COCO test-dev
