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MSTR: Multi-Scale Transformer for End-to-End Human-Object Interaction Detection.

, , , , , and . CVPR, page 19556-19565. IEEE, (2022)

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DeepSchema: Automatic Schema Acquisition from Wearable Sensor Data in Restaurant Situations., , and . IJCAI, page 834-840. IJCAI/AAAI Press, (2016)How Well Do Large Language Models Truly Ground?, , , , , , and . CoRR, (2023)Exploiting the Potential of Seq2Seq Models as Robust Few-Shot Learners., , , , and . CoRR, (2023)Video-Text Representation Learning via Differentiable Weak Temporal Alignment., , , , , , and . CVPR, page 5006-5015. IEEE, (2022)Binary Classifier Optimization for Large Language Model Alignment., , , and . CoRR, (2024)Modeling Situated Conversations for a Child-Care Robot Using Wearable Devices., , and . AAAI Fall Symposia, page 103-106. AAAI Press, (2015)Temporal Attention Mechanism with Conditional Inference for Large-Scale Multi-label Video Classification., , , , , , and . ECCV Workshops (4), volume 11132 of Lecture Notes in Computer Science, page 306-316. Springer, (2018)Hadamard Product for Low-rank Bilinear Pooling., , , , , and . CoRR, (2016)Cut-Based Graph Learning Networks to Discover Compositional Structure of Sequential Video Data., , , and . AAAI, page 5315-5322. AAAI Press, (2020)MSTR: Multi-Scale Transformer for End-to-End Human-Object Interaction Detection., , , , , and . CVPR, page 19556-19565. IEEE, (2022)