17 citations · 30 across the 12 of their papers we have counts for
6 papers · 1 filter
TOFFE -- Temporally-binned Object Flow from Events for High-speed and Energy-Efficient Object Detection and Tracking
Adarsh Kumar Kosta, Amogh Joshi, Arjun Roy +3
Object detection and tracking is an essential perception task for enabling fully autonomous navigation in robotic systems. Edge robot systems such as small drones need to execute c…
Best of Both Worlds: Hybrid SNN-ANN Architecture for Event-based Optical Flow Estimation
Shubham Negi, Deepika Sharma, Adarsh Kumar Kosta +1
In the field of robotics, event-based cameras are emerging as a promising low-power alternative to traditional frame-based cameras for capturing high-speed motion and high dynamic…
FEDORA: Flying Event Dataset fOr Reactive behAvior
Amogh Joshi, Adarsh Kosta, Wachirawit Ponghiran +2
The ability of resource-constrained biological systems such as fruitflies to perform complex and high-speed maneuvers in cluttered environments has been one of the prime sources of…
HALSIE: Hybrid Approach to Learning Segmentation by Simultaneously Exploiting Image and Event Modalities
Shristi Das Biswas, Adarsh Kosta, Chamika Liyanagedera +2
Event cameras detect changes in per-pixel intensity to generate asynchronous `event streams'. They offer great potential for accurate semantic map retrieval in real-time autonomous…
Adaptive-SpikeNet: Event-based Optical Flow Estimation using Spiking Neural Networks with Learnable Neuronal Dynamics
Adarsh Kumar Kosta, Kaushik Roy
Event-based cameras have recently shown great potential for high-speed motion estimation owing to their ability to capture temporally rich information asynchronously. Spiking Neura…
Fusion-FlowNet: Energy-Efficient Optical Flow Estimation using Sensor Fusion and Deep Fused Spiking-Analog Network Architectures
Chankyu Lee, Adarsh Kumar Kosta, Kaushik Roy
Standard frame-based cameras that sample light intensity frames are heavily impacted by motion blur for high-speed motion and fail to perceive scene accurately when the dynamic ran…