3 citations · 4 across the 7 of their papers we have counts for
9 papers
PerQ: Inverse Generative Modeling for Neural Image Compression via Quantization Error Compensation
Tianhao Peng, Ho Man Kwan, Fan Zhang +2
Neural image codecs face a fundamental trade-off between pixel fidelity and perceptual quality. Distortion-optimized codecs preserve pixel-wise fidelity but produce blurred reconst…
Scaling Wideband Hybrid Beamforming for sub-THz Communication
Amirmohammad Haddad, Oveys Delafrooz Noroozi, Canan Cebeci +2
We investigate the capacity attainable for a multiuser MIMO uplink as we scale both array size and bandwidth for regimes in which all-digital arrays incur excessive hardware comple…
Beamspace Dimensionality Reduction for Massive MU-MIMO: Geometric Insights and Information-Theoretic Limits
Canan Cebeci, Oveys Delafrooz Noroozi, Upamanyu Madhow
Beamspace dimensionality reduction, a classical tool in array processing, has been shown in recent work to significantly reduce computational complexity and training overhead for a…
Tiled Beamspace MVDR for 1024-element Wideband Radar
Oveys Delafrooz Noroozi, Jiyoon Han, Wei Tang +2
We present a tiled architecture for computationally efficient digital beamforming for wideband massive MIMO radar, using beamspace dimension reduction for each tile, and coordinate…
Scaling Wideband Massive MIMO Radar via Beamspace Dimension Reduction
Oveys Delafrooz Noroozi, Jiyoon Han, Wei Tang +2
We present an architecture for scaling digital beamforming for wideband massive MIMO radar. Conventional spatial processing becomes computationally prohibitive as array size grows;…
mmSnap: Bayesian One-Shot Fusion in a Self-Calibrated mmWave Radar Network
Anirban Banik, Lalitha Giridhar, Aaditya Prakash Kattekola +4
We present mmSnap, a collaborative RF sensing framework using multiple radar nodes, and demonstrate its feasibility and efficacy using commercially available mmWave MIMO radars. Co…
Crowd Size Estimation for Non-Uniform Spatial Distributions with mmWave Radar
Anurag Pallaprolu, Aaditya Prakash Kattekola, Winston Hurst +3
In this paper, we present a novel methodology for crowd size estimation using monostatic mmWave radar. Our aim is to accurately count large crowds that follow a non-uniform spatial…
Long-Term Fairness in Sequential Multi-Agent Selection with Positive Reinforcement
Bhagyashree Puranik, Ozgur Guldogan, Upamanyu Madhow +1
While much of the rapidly growing literature on fair decision-making focuses on metrics for one-shot decisions, recent work has raised the intriguing possibility of designing seque…
Improving Robustness via Tilted Exponential Layer: A Communication-Theoretic Perspective
Bhagyashree Puranik, Ahmad Beirami, Yao Qin +1
State-of-the-art techniques for enhancing robustness of deep networks mostly rely on empirical risk minimization with suitable data augmentation. In this paper, we propose a comple…