+ - P. Wang*, D. Xu*, Z. Fan*, D. Wang, S. Mohan, F. Iandola, R. Ranjan, Y. Li, Q. liu, Z. Wang, and V. Chandra
+
"Taming Mode Collapse in Score Distillation for Text-to-3D Generation”
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024. [Paper] [Code]
+ - M. Varma, P. Wang*, Z. Fan*, Z. Wang, H. Su, and R. Ramamoorthi
"Lift3D: Zero-Shot Lifting of Any 2D Vision Model to 3D”
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024. [Paper] [Code]
+ - S. Zhou, H. Chang, S. Jiang, Z. Fan*, Z. Zhu*, D. Xu*, P. Chari, S. You, Z. Wang, and A. Kadambi
"Feature 3DGS: Supercharging 3D Gaussian Splatting to Enable Distilled Feature Fields”
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024. [Paper] [Code]
+ - V. Goel, E. Peruzzo, Y. Jiang*, D. Xu*, X. Xu, N. Sebe, T. Darrell, Z. Wang, H. Shi
"PAIR Diffusion: A Comprehensive Multimodal Object-Level Image Editor”
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024. [Paper] [Code]
+ - M. Ohanyan, H. Manukyan, Z. Wang, S. Navasardyan, and H. Shi
"Zero-Painter: Training-Free Layout Control for Text-to-Image Synthesis”
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024. [Paper] [Code]
+ - X. Xu, J. Guo, Z. Wang, G. Huang, I. Essa, and H. Shi
"Prompt-Free Diffusion: Taking 'Text' out of Text-to-Image Diffusion Models”
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024. [Paper] [Code]
+ - M. D'Incà, E. Peruzzo, M. Mancini, D. Xu*, V. Goel, X. Xu, Z. Wang, H. Shi, and N. Sebe
"OpenBias: Open-set Bias Detection in Generative Models”
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024. [Paper] [Code]
+ - Z. Zhang*, S. Liu*, R. Chen*, B. Kailkhura, B. Chen, and Z. Wang
"Q-Hitter: A Better Token Oracle for Efficient LLM Inference via Sparse-Quantized KV Cache”
Conference on Machine Learning and Systems (MLSys), 2024. [Paper] [Code]
+ - Y. Yang, N. Bhatt*, T. Ingebrand, W. Ward, S. Carr, Z. Wang, and U. Topcu
"Fine-Tuning Language Models Using Formal Methods Feedback”
Conference on Machine Learning and Systems (MLSys), 2024. [Paper] [Code]
+ - A. Jaiswal*, Z. Gan, X. Du, B. Zhang, Z. Wang, and Y. Yang
"Compressing LLMs: The Truth is Rarely Pure and Never Simple”
International Conference on Learning Representations (ICLR), 2024. [Paper] [Code]
- J. Hong*, J. Wang, C. Zhang, Z. LI*, B. Li, and Z. Wang
"DP-OPT: Make Large Language Model Your Differentially-Private Prompt Engineer”
International Conference on Learning Representations (ICLR), 2024. (Spotlight) [Paper] [Code]
- A. Jaiswal*, Z. Gan, X. Du, B. Zhang, Z. Wang, and Y. Yang
"Compressing LLMs: The Truth is Rarely Pure and Never Simple”
International Conference on Learning Representations (ICLR), 2024. [Paper] [Code]
- Y. Jiang*, H. Tang, J. Chang, L. Song, Z. Wang, and L. Cao
"Efficient-3DiM: Learning a Generalizable Single-image Novel-view Synthesizer in One Day”
International Conference on Learning Representations (ICLR), 2024. [Paper] [Code]
diff --git a/resource.html b/resource.html
index 646f64d..0ff5022 100644
--- a/resource.html
+++ b/resource.html
@@ -160,16 +160,18 @@ Open Calls for Papers/Participation
- - Tutorial on "Zeroth-Order Machine Learning: Fundamental Principles and Emerging Applications in Foundation Models", AAAI 2024 (Vancouver, BC, Feb 2024) & ICASSP 2024 (Seoul, Korea, Apr 2024)
+ - Tutorial on "Zeroth-Order Machine Learning: Fundamental Principles and Emerging Applications in Foundation Models", AAAI 2024 (Vancouver, BC, Feb 2024) & ICASSP 2024 (Seoul, Korea, Apr 2024)
- Tutorial on "Sparsity in Large Language Models: The New Odyssey", ICASSP 2024 (Seoul, Korea, Apr 2024)
- - ICLR Workshop on Data-centric Machine Learning Research (DMLR): Harnessing Momentum for Science, Vienna, Austria, May 2024
+ - ICLR Workshop on Data-centric Machine Learning Research (DMLR): Harnessing Momentum for Science, Vienna, Austria, May 2024
- CVPR Workshop and Prize Challenge on Bridging the Gap between Computational Photography and Visual Recognition (UG2+), Seattle, Jun 2024
+ - MICCAI Challenge on Long-tailed, Multi-label, and Zero-shot Classification on Chest X-rays (CXR-LT), Morocco, Oct 2024
+
diff --git a/spring_24.html b/spring_24.html
index b78ae60..6eba2ef 100644
--- a/spring_24.html
+++ b/spring_24.html
@@ -284,7 +284,7 @@
Spring 24 - Introduction to Computer Vision
3/14 Thursday
- No Class (Spring Break) -