Tick, D.
Standard Author Listing
with: Gans, N.: Tracking Control of Mobile Robots Localized via Chained Fusi...
with: Satici, A.C.: Tracking Control of Mobile Robots Localized via Chained ...
with: Shen, J.: Tracking Control of Mobile Robots Localized via Chained Fusi...
Tick, J.
Standard Author Listing
with: Leskinen, J.: Modeling of Errors Due to Uncertainties in Ultrasound Se...
with: Pulkkinen, A.: Modeling of Errors Due to Uncertainties in Ultrasound S...
with: Sahlstrom, T.: Modeling of Errors Due to Uncertainties in Ultrasound S...
with: Tarvainen, T.: Modeling of Errors Due to Uncertainties in Ultrasound S...
Tick, S.
Standard Author Listing
with: Bloch, I.: Automated segmentation of macular layers in OCT images and ...
with: Ghorbel, I.: Automated segmentation of macular layers in OCT images an...
with: Paques, M.: Automated segmentation of macular layers in OCT images and...
with: Rossant, F.: Automated segmentation of macular layers in OCT images an...
Tickle Degnen, L.
Standard Author Listing
with: Betke, M.: Context-Sensitive Prediction of Facial Expressivity Using M...
with: Ghosh, S.: Context-Sensitive Prediction of Facial Expressivity Using M...
with: Gunnery, S.: Context-Sensitive Prediction of Facial Expressivity Using...
with: Joshi, A.: Context-Sensitive Prediction of Facial Expressivity Using M...
with: Sclaroff, S.: Context-Sensitive Prediction of Facial Expressivity Usin...
Tickle, K.
Standard Author Listing
with: Ali, A.B.M.S.: Impact of Feature Selection on Support Vector Machine U...
with: Wahid, C.M.M.: Impact of Feature Selection on Support Vector Machine U...
Tickoo, O.
Standard Author Listing
with: Ahuja, N.: Continual Active Adaptation to Evolving Distributional Shifts
with: Ahuja, N.: incDFM: Incremental Deep Feature Modeling for Continual Nov...
with: Ahuja, N.: Low-Complexity Approach to Rate-Distortion Optimized Variab...
with: Ahuja, N.: Neural Rate Estimator and Unsupervised Learning for Efficie...
with: Ahuja, N.: Semantic-Preserving Image Compression
with: Ahuja, N.A.: Factorization Approach for Enabling Structure-from-Motion...
with: Ahuja, N.A.: Subspace Modeling for Fast Out-Of-Distribution and Anomal...
with: Alan, T.: Low-complexity HOG for efficient video saliency
with: Bajic, I.V.: Integrated end-to-end buffer management and congestion co...
with: Balan, A.: Integrated end-to-end buffer management and congestion cont...
with: Camacho Perez, R.: Adaptive Activation Functions Using Fractional Calc...
with: Chakraborty, S.: Adaptive Keyframe Selection for Video Summarization
with: Cordourier, H.: Adaptive Activation Functions Using Fractional Calculus
with: Cruz Vargas, A.: Adaptive Activation Functions Using Fractional Calculus
with: Cruz Vargas, A.: Adaptive Convolutional Kernels
with: Cruz Vargas, J.A.: Introducing Region Pooling Learning
with: Cruz Vargas, J.A.: Second Order Bifurcating Methodology for Neural Net...
with: Datta, P.: Greedy Part Assignment Algorithm for Real-Time Multi-person...
with: Datta, P.: Low-Complexity Approach to Rate-Distortion Optimized Variab...
with: Datta, P.: Neural Rate Estimator and Unsupervised Learning for Efficie...
with: Dhamasia, A.: Reliable Multimodal Trajectory Prediction via Error Alig...
with: Esquivel, J.Z.: Second Order Bifurcating Methodology for Neural Networ...
with: Genc, U.: incDFM: Incremental Deep Feature Modeling for Continual Nove...
with: Huang, J.: Uncertainty-Aware Audiovisual Activity Recognition Using De...
with: Hwangbo, M.: Low-complexity HOG for efficient video saliency
with: Itti, L.: incDFM: Incremental Deep Feature Modeling for Continual Nove...
with: Iyer, R.: Adaptive Keyframe Selection for Video Summarization
with: Iyer, R.: Low-complexity HOG for efficient video saliency
with: Kalyanaraman, S.: Efficient path aggregation and error control for vid...
with: Kalyanaraman, S.: Integrated end-to-end buffer management and congesti...
with: Kanzariya, B.: Neural Rate Estimator and Unsupervised Learning for Eff...
with: Koolagudi, S.: Semantic-Preserving Image Compression
with: Kose, N.: Reliable Multimodal Trajectory Prediction via Error Aligned ...
with: Krishnan, R.: Continual Active Adaptation to Evolving Distributional S...
with: Krishnan, R.: Efficient Priors for Scalable Variational Inference in B...
with: Krishnan, R.: Reliable Multimodal Trajectory Prediction via Error Alig...
with: Krishnan, R.: Uncertainty-Aware Audiovisual Activity Recognition Using...
with: Lee, T.: Low-complexity HOG for efficient video saliency
with: Lee, Y.: Factorization Approach for Enabling Structure-from-Motion/SLA...
with: Lopez Meyer, P.: Adaptive Activation Functions Using Fractional Calculus
with: Lopez Meyer, P.: Adaptive Convolutional Kernels
with: Machireddy, A.: Continual Active Adaptation to Evolving Distributional...
with: Meyer, P.L.: Uncertainty-Aware Audiovisual Activity Recognition Using ...
with: Ndiour, I.: incDFM: Incremental Deep Feature Modeling for Continual No...
with: Ndiour, I.J.: Subspace Modeling for Fast Out-Of-Distribution and Anoma...
with: Patwa, N.: Semantic-Preserving Image Compression
with: Paulitsch, M.: Reliable Multimodal Trajectory Prediction via Error Ali...
with: Rios, A.: incDFM: Incremental Deep Feature Modeling for Continual Nove...
with: Somayazulu, S.: Semantic-Preserving Image Compression
with: Somayazulu, V.S.: Low-Complexity Approach to Rate-Distortion Optimized...
with: Somayazulu, V.S.: Neural Rate Estimator and Unsupervised Learning for ...
with: Subedar, M.: Efficient Priors for Scalable Variational Inference in Ba...
with: Subedar, M.: Factorization Approach for Enabling Structure-from-Motion...
with: Subedar, M.: Uncertainty-Aware Audiovisual Activity Recognition Using ...
with: Varadarajan, S.: Greedy Part Assignment Algorithm for Real-Time Multi-...
with: Varadarajan, S.: Semantic-Preserving Image Compression
with: Woods, J.W.: Efficient path aggregation and error control for video st...
with: Woods, J.W.: Integrated end-to-end buffer management and congestion co...
with: Zamora Esquivel, J.: Adaptive Activation Functions Using Fractional Ca...
with: Zamora Esquivel, J.: Adaptive Convolutional Kernels
with: Zamora Esquivel, J.: Introducing Region Pooling Learning
61 for Tickoo, O.