315 citations · 1.2k across the 43 of their papers we have counts for
9 papers · 1 filter
In the Blink of an Eye: Event-based Emotion Recognition
Haiwei Zhang, Jiqing Zhang, Bo Dong +5
We introduce a wearable single-eye emotion recognition device and a real-time approach to recognizing emotions from partial observations of an emotion that is robust to changes in…
Kissing to Find a Match: Efficient Low-Rank Permutation Representation
Hannah Dröge, Zorah Lähner, Yuval Bahat +3
Permutation matrices play a key role in matching and assignment problems across the fields, especially in computer vision and robotics. However, memory for explicitly representing…
Thin On-Sensor Nanophotonic Array Cameras
Praneeth Chakravarthula, Jipeng Sun, Xiao Li +6
Today's commodity camera systems rely on compound optics to map light originating from the scene to positions on the sensor where it gets recorded as an image. To record images wit…
Spatially Varying Nanophotonic Neural Networks
Kaixuan Wei, Xiao Li, Johannes Froech +5
The explosive growth of computation and energy cost of artificial intelligence has spurred strong interests in new computing modalities as potential alternatives to conventional el…
Stochastic Light Field Holography
Florian Schiffers, Praneeth Chakravarthula, Nathan Matsuda +5
The Visual Turing Test is the ultimate goal to evaluate the realism of holographic displays. Previous studies have focused on addressing challenges such as limited étendue and imag…
Gated Stereo: Joint Depth Estimation from Gated and Wide-Baseline Active Stereo Cues
Stefanie Walz, Mario Bijelic, Andrea Ramazzina +3
We propose Gated Stereo, a high-resolution and long-range depth estimation technique that operates on active gated stereo images. Using active and high dynamic range passive captur…
STrack: Self-supervised Tracking with Soft Assignment Flow
Fatemeh Azimi, Fahim Mannan, Felix Heide
In this work, we study self-supervised multiple object tracking without using any video-level association labels. We propose to cast the problem of multiple object tracking as lear…
ScatterNeRF: Seeing Through Fog with Physically-Based Inverse Neural Rendering
Andrea Ramazzina, Mario Bijelic, Stefanie Walz +3
Vision in adverse weather conditions, whether it be snow, rain, or fog is challenging. In these scenarios, scattering and attenuation severly degrades image quality. Handling such…
Instance Segmentation in the Dark
Linwei Chen, Ying Fu, Kaixuan Wei +2
Existing instance segmentation techniques are primarily tailored for high-visibility inputs, but their performance significantly deteriorates in extremely low-light environments. I…