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Nigamaa Nayakanti
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2020 – today
- 2023
- [j1]Serge Assaad, Carlton Downey, Rami Al-Rfou', Nigamaa Nayakanti, Benjamin Sapp:
VN-Transformer: Rotation-Equivariant Attention for Vector Neurons. Trans. Mach. Learn. Res. 2023 (2023) - [c3]Ari Seff, Brian Cera, Dian Chen, Mason Ng, Aurick Zhou, Nigamaa Nayakanti, Khaled S. Refaat, Rami Al-Rfou, Benjamin Sapp:
MotionLM: Multi-Agent Motion Forecasting as Language Modeling. ICCV 2023: 8545-8556 - [c2]Nigamaa Nayakanti, Rami Al-Rfou, Aurick Zhou, Kratarth Goel, Khaled S. Refaat, Benjamin Sapp:
Wayformer: Motion Forecasting via Simple & Efficient Attention Networks. ICRA 2023: 2980-2987 - [i4]Ari Seff, Brian Cera, Dian Chen, Mason Ng, Aurick Zhou, Nigamaa Nayakanti, Khaled S. Refaat, Rami Al-Rfou, Benjamin Sapp:
MotionLM: Multi-Agent Motion Forecasting as Language Modeling. CoRR abs/2309.16534 (2023) - 2022
- [c1]Balakrishnan Varadarajan, Ahmed Hefny, Avikalp Srivastava, Khaled S. Refaat, Nigamaa Nayakanti, Andre Cornman, Kan Chen, Bertrand Douillard, Chi-Pang Lam, Dragomir Anguelov, Benjamin Sapp:
MultiPath++: Efficient Information Fusion and Trajectory Aggregation for Behavior Prediction. ICRA 2022: 7814-7821 - [i3]Serge Assaad, Carlton Downey, Rami Al-Rfou, Nigamaa Nayakanti, Ben Sapp:
VN-Transformer: Rotation-Equivariant Attention for Vector Neurons. CoRR abs/2206.04176 (2022) - [i2]Nigamaa Nayakanti, Rami Al-Rfou, Aurick Zhou, Kratarth Goel, Khaled S. Refaat, Benjamin Sapp:
Wayformer: Motion Forecasting via Simple & Efficient Attention Networks. CoRR abs/2207.05844 (2022) - 2021
- [i1]Balakrishnan Varadarajan, Ahmed Hefny, Avikalp Srivastava, Khaled S. Refaat, Nigamaa Nayakanti, Andre Cornman, Kan Chen, Bertrand Douillard, Chi-Pang Lam, Dragomir Anguelov, Benjamin Sapp:
MultiPath++: Efficient Information Fusion and Trajectory Aggregation for Behavior Prediction. CoRR abs/2111.14973 (2021)
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