Deviant: Depth equivariant network for monocular 3d object detection
Modern neural networks use building blocks such as convolutions that are equivariant to
arbitrary 2 D translations. However, these vanilla blocks are not equivariant to arbitrary 3 D …
arbitrary 2 D translations. However, these vanilla blocks are not equivariant to arbitrary 3 D …
Groomed-nms: Grouped mathematically differentiable nms for monocular 3d object detection
Modern 3D object detectors have immensely benefited from the end-to-end learning idea.
However, most of them use a post-processing algorithm called Non-Maximal Suppression …
However, most of them use a post-processing algorithm called Non-Maximal Suppression …
On bandlimited field estimation from samples recorded by a location-unaware mobile sensor
A Kumar - IEEE Transactions on Information Theory, 2017 - ieeexplore.ieee.org
Sampling of physical fields with mobile sensor is an emerging area. In this context, this work
introduces and addresses some aspects of a fundamental question: can a spatial field be …
introduces and addresses some aspects of a fundamental question: can a spatial field be …
Bandlimited spatiotemporal field sampling with location and time unaware mobile sensors
Sampling of smooth spatiotemporally varying fields is a well-studied topic in the literature.
Classical approach assumes that the field is observed at known sampling locations and …
Classical approach assumes that the field is observed at known sampling locations and …
Estimation of bandlimited signals on graphs from single bit recordings of noisy samples
M Goyal, A Kumar - 2018 26th European Signal Processing …, 2018 - ieeexplore.ieee.org
Recently, there has been interest in graph signal processing. We consider the problem of a
bandlimited graph signal estimation (denoising) from single-bit samples obtained at each …
bandlimited graph signal estimation (denoising) from single-bit samples obtained at each …
Dithered A/D Conversion of Bandlimited Signals under Frequency Band Uncertainty
KR Sahasranand - IEEE Signal Processing Letters, 2022 - ieeexplore.ieee.org
We propose a scheme for analog-to-digital (A/D) conversion of a signal that is bandlimited
most of the time but contains harmonics of a high frequency occasionally. To enable the …
most of the time but contains harmonics of a high frequency occasionally. To enable the …
Signal Reconstruction From Quantized Noisy Samples of the Discrete Fourier Transform
M Goyal, A Kumar - IEEE Transactions on Signal Processing, 2022 - ieeexplore.ieee.org
In this paper, we present two variations of an algorithm for signal reconstruction from one-bit
or two-bit noisy observations of the discrete Fourier transform (DFT). The one-bit …
or two-bit noisy observations of the discrete Fourier transform (DFT). The one-bit …
Bandlimited spatial field sampling with mobile sensors in the absence of location information
A Kumar - arXiv preprint arXiv:1509.03966, 2015 - arxiv.org
Sampling of physical fields with mobile sensor is an emerging area. In this context, this work
introduces and proposes solutions to a fundamental question: can a spatial field be …
introduces and proposes solutions to a fundamental question: can a spatial field be …
On transmission of a continuous signal via a noiseless binary channel
N Dokuchaev - IEEE Signal Processing Letters, 2015 - ieeexplore.ieee.org
We study the problem of the transmission of currently observed time variable signals via a
channel that is capable of sending a single binary signal only for each measurement of the …
channel that is capable of sending a single binary signal only for each measurement of the …
Spatial Field estimation from Samples taken at Unknown Locations generated by an Unknown Autoregressive Process
Sampling of physical fields with mobile sensors is an upcoming field of interest. This offers
greater advantages in terms of cost as often just a single sensor can be used for the purpose …
greater advantages in terms of cost as often just a single sensor can be used for the purpose …