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Found 8 papers, 1 papers with code
BOTT: Box Only Transformer Tracker for 3D Object Tracking
The similarity between these learned embeddings can be used to link the boxes of the same object.
Explaining SAT Solving Using Causal Reasoning
Subsequently, given a query such as whether a clause with low literals blocks distance (LBD) has a higher clause utility, CausalSAT calculates the causal effect of LBD on clause utility and provides an answer to the question.
Rounding Meets Approximate Model Counting
The problem of model counting, also known as #SAT, is to compute the number of models or satisfying assignments of a given Boolean formula $F$.
Data-based Polymer-Unit Fingerprint (PUFp): A Newly Accessible Expression of Polymer Organic Semiconductors for Machine Learning
By investigating the combinations of polymer units with mobility performance, a scheme for designing polymer OSC materials by combining ML approaches and PUFp information is proposed to not only passively predict OSC mobility but also actively provide structural guidance for new high-mobility OSC material design.
Projected Model Counting: Beyond Independent Support
We show that in several such cases, we can identify a set of variables, called upper bound support (UBS), that is not necessarily a subset of the projection set, and yet counting models projected on UBS guarantees an upper bound of the true projected model count.
PointPillars: Fast Encoders for Object Detection from Point Clouds
These benchmarks suggest that PointPillars is an appropriate encoding for object detection in point clouds.
Common Action Discovery and Localization in Unconstrained Videos
Similar to common object discovery in images or videos, it is of great interests to discover and locate common actions in videos, which can benefit many video analytics applications such as video summarization, search, and understanding.
Adaptive Exponential Smoothing for Online Filtering of Pixel Prediction Maps
We propose an efficient online video filtering method, called adaptive exponential filtering (AES) to refine pixel prediction maps.
